Job Listings

Note: Job listings are free. To post a job listing, please submit it to the SMB Digest. The listings here are typically pulled from each Digest. Please contact the webmaster for further details.

Listings shown below were posted in the following Digests:

Studentships

(Click on job title for additional information.)
  • PhD Studentship - Mathematical Modeling of Water Filtration
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      A PhD studentship funded by Loughborough University is available to start in October 2016.

      The project, based in the Department of Mathematical Sciences at Loughborough University, will focus on the mathematical and computational modelling of point-of-care water purification devices. The aim is to set up a robust and reliable modelling tool that would enable simulation of different working configurations for the device with a view to optimise its performance and design.

      The successful candidate will be expected to develop a mathematical model of the process of filtration of water through a porous medium and computational finite element software to simulate filtration. The model will be validated using experimental data obtained in the Chemical Engineering Department.

      The studentship is for 3 years and it provides a stipend of £14,296 per annum plus tuition fees at the UK/EU rate for up to three years. International (non EU) students may apply but will need to find the difference in fees between those for a 'UK/EU' and 'international' student themselves.

      Students will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mathematics, Physics or Engineering. A relevant Master's degree and/or experience in one or mode or the following will be an advantage: Applied Computational Mathematics, Computational Mechanics.

      Interested candidates are encouraged to contact Dr Marco Discacciati at M.Discacciati@lboro.ac.uk

      Applications are accepted until the position is filled.

  • PhD Position: Modeling Infection and Immunity, UNSW, Australia
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      PhD scholarship: Mathematical modeling in infection and immunity, Infection Analytics Program, Kirby Institute, UNSW.

      The Infection Analytics Program at the Kirby Institute is looking for talented students to join their team in Sydney, Australia, investigating immunity and vaccination for chronic infectious disease. Major current projects involve understanding the dynamics of 'latent' infection in HIV, and how the immune system controls malaria infection. The group is an interdisciplinary team including applied mathematicians, physicists, and computer scientists, who collaborate widely with experimental groups around the world. The team uses mathematical modeling, statistical analysis, and computer simulation to understand immunity to infection. The scope of studies ranges from modeling immune kinetics in vivo, analysis of genetic evolution in HIV, to analysis of cohort data on malaria infection in the field. The group has a high publication output and a strong history in successful interdisciplinary training. It is an ideal venue for students with a quantitative background (mathematics / physics / statistics) aiming to either establish themselves or diversify their experiences in mathematical biology.

      Applicants are sought for both local and International student scholarships for PhD studies. These scholarships cover tuition and living expenses (with stipends ranging from approx. $36,000 - $40,000 p.a., depending on scholarship). PhD studies generally last 3.5 years.

      The scholarships are highly competitive. For local students, first class honours is usually required. For international students, a high GPA (first class honours or equivalent. High ranking in class) +/- publications are required.

      More information on the group's research is available at the Infection Analytics website: http://kirby.unsw.edu.au/research-programs/infection-analytics-program/about-program

  • PhD research fellowship: Pharmacometrics & Computational Disease Modelling
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      The Graduate Research Training Program PharMetrX: Pharmacometrics & Computational Disease Modelling is an interdisciplinary PhD program bridging pharmacy and mathematics. PharMetrX provides its graduate students a unique opportunity to experience research in drug development and optimising drug therapy.

      PharMetrX offers:

      - a transdisciplinary research environment and research program
      - a competitive 3.5 years research fellowship
      - a structured research training curriculum of specifically designed academic and industrial modules
      - a joint supervision of the scientific progress by both program chairs
      - an individual research and development plan
      - an individual mentorship from one of the industry partners


      We are currently inviting applications to start the PharMetrX PhD program in March 2017. PharMetrX is open to candidates with a university degree in pharmacy, mathematics/statistics, natural sciences or medicine.

      Deadline for applications: September 15th, 2016. For details see https://www.PharMetrX.de.

      PharMetrX is a joint program of the Freie Universitat Berlin and the Universitat Potsdam, supported by several global research-driven pharmaceutical companies.

  • PhD & Postdoc Positions: mathematical and population genetics, McGill U
    • SMB Digest Vol 16, Issue 25 - June 22, 2016

      PhD and postdoc projects in mathematical and population genetics are available at McGill University in Montreal, Canada. The projects aim to develop mathematical, statistical, or computational models to better understand human genetics, human history, and disease. Sample projects are outlined below.

      Candidates should have:

      - a strong background in mathematics, statistics, programming, or related fields;

      - demonstrated interest in biology, evolution, or medical research;

      - a curious and creative mind.

      Experience in genetics, stochastic processes, or machine learning are assets.

      The fully-funded positions offer an exceptional opportunity to develop theoretical and computational ideas and apply them to cutting-edge data in a supportive and thriving research environment.

      Applications and queries should be sent to Simon Gravel gravellab@gmail.com. Please include a statement of interest (1 page or less), a CV, contact information for three references, and a low-resolution scan of transcripts.

      *Project 1: Genetics and Human history*

      The student will develop mathematical models of human genetic diversity to refine our understanding of human history, demography, and disease risk, especially in non-European populations.

      *Project 2: Tumor heterogeneity*

      The student will model heterogeneity in primary and metastatic tumors through simulation and mathematical models. She will seek to answer fundamental questions about cancer progression and resistance to treatment, and to help interpret the latest generation of sequence data.

      *Project 3: Genetics, Genealogies, and Evolution*

      The student will develop statistical models that combine genetic and genealogical data to learn about the transmission history of alleles over generations and identify evidence for selection or disease-causing alleles. He will work with some of the largest and most complete genealogical datasets available, as well as with cutting-edge biological datasets.

  • PhD Position: Bioinformatics/Computational Biology, UNSW, Australia
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      The Viral Immunology Systems Program (VISP) at the Kirby Institute for Infection and Immunity at the University of New South Wales, Sydney Australia is looking for PhD students to work on research projects in the area of bioinformatics / computational biology as well as statistical analyses that are aimed at understanding viral evolution and the role of host immune response. These projects and will involve high- throughput data, such as next-generation sequencing, as well as immunological data (flow- cytometry, single cell sorting and sequencing of T and B cell repertoire). The group has recently established single cell genomics laboratory assays to study antigen specific T cell responses and their subtype evolution during an infection.

      Computational projects are suited to students with a strong background in quantitative disciplines such as Bioinformatics, Computer Science, Physics, Statistics, Mathematics or similar. Successful applicants will join a team of researchers at the Kirby Institute and The School of Medical Sciences, which hosts > 140 PhD and Masters students and researchers in various field of Medical Sciences. There is also a great opportunity to interact with researchers involved in wet-lab activities.

      We have recently established the VISP program and the web page is under construction. Additional information on the Computational Biology Group's research interests is available at: http://medicalsciences.med.unsw.edu.au/research/groups/inflammation-and-infection-research/computational-biology-and-bioinformatics

      https://research.unsw.edu.au/people/dr-fabio-luciani

      Please include a cover letter and CV that provide details about research interests, education, employment history (if any), skills.

      Post-graduate scholarships are available to support tuition and living expenses for domestic (Australian Postgraduate Award APA)

      http://research.unsw.edu.au/domestic-research-candidate-scholarships

      and overseas PhD students to study in Australia. More information on the postgraduate research scholarships is available at:

      http://research.unsw.edu.au/international-research-candidate-scholarships

      Top-up scholarships are available in our group for USD5-10K.

      Interested applicants should contact Dr Fabio Luciani: luciani@unsw.edu.au.

  • PhD Position: Cardiac Modelling, Maastricht University, Netherlands
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      We have a PhD position in Maastricht with a closing date coming very soon. In this project, computer simulation of the failing heart will be combined with data from patients and animal experiments to determine how pacemaker therapy can be optimally delivered in the individual patient.

      This would be a great opportunity for an applied mathematics / engineering masters student with an interest in cardiac research who's interested in working in a different country. The student will be based in Maastricht and collaborate closely with Bordeaux and Graz.

      For further details, visit: http://www.academictransfer.com/33732

      Interested candidates will need to send a cover letter and your CV to Joost Lumens, PhD (joost.lumens@maastrichtuniversity.nl) before June 10, 2016.

  • PhD: Evolutionary transitions, University of Adelaide, Australia
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      PhD Scholarship: Mathematical modelling of evolutionary transitions. School of Mathematical Sciences, University of Adelaide, Australia.

      The scholarship is open to all international students, so this would be a great opportunity for someone to come and study in Australia for a few years.

      Details at: http://maths.adelaide.edu.au/andrew.black/phd_position.html

  • M2 Systems & Synthetic Biology, U Paris-Saclay & U. Evry, France
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Dear colleagues,

      Applications for the Master 2 in Systems & Synthetic Biology (mSSB) - proposed by the University of Evry-Val-d'Essonne and the University Paris-Saclay - are open until 15 July, 2016 on the website of U. Paris Saclay.

      This Master 2 is highly trans-disciplinary; Applicants may come from Universities or from Engineering schools after a first year of master (M1), or an equivalent qualification, in Life Sciences, Computer Sciences, Mathematics, Engineering, Chemistry and Physical Sciences. So we would appreciate your help in transmitting these informations to potentially interested students.

      Following this Master, several PhD programs are possible on site. Research trainings are also proposed in Europe (England, Germany, Switzerland, Spain, ...) and in the US.

  • PhDs & Postdocs: Hepatic Cell Differentiation..., UCLouvain, Belgium
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Experts in development and cancer biology are teaming up with modellers to build a network of experimentalists and theoretically-oriented scientists at UCLouvain and de Duve Institute (Louvain-la-Neuve and Brussels, Belgium). The goal of the network is to unravel fundamental mechanisms of organ development and growth by combining mathematical modelling with experimental approaches in cell, molecular and mouse transgenic technology.

      Our specific goals are to identify and predict the dynamics of signalling pathways and transcriptional networks which drive thyroid and pancreas morphogenesis, and which regulate hepatic cell differentiation and liver cancer development. We are seeking PhD students and post-doctoral fellows who will develop mathematical models, in collaboration with experimentalists. We offer the opportunity to interact with experts in experimental biology and applied mathematics, and to acquire transversal skills via participation to national and international workshops.

      The research will be performed in the laboratories of Emmanuel Hanert (http://perso.uclouvain.be/emmanuel.hanert), Frederic Lemaigre (http://www.deduveinstitute.be/lpad) and Christophe Pierreux (http://www.deduveinstitute.be/epithelial-differentiation).

      PhD candidates must hold a Master degree in mathematics, (bio-)engineering, physics or in an equivalent quantitative discipline. Post-doctoral candidates must have a strong track record of conducting interdisciplinary research in computational biology. They must have published the results of his/her PhD in international peer-reviewed journals. Candidates are expected to be fluent in English, written and spoken. They should not have resided or have carried out their main activity (work, studies, etc.) in Belgium for more than 12 months in the 3 years immediately prior to the start of the fellowship.

      Interested candidates should send their CV, a motivation letter and the names of three references to biomodelling@uclouvain.be.

  • PhD Position: Modeling Global Change & Animal Movements, SLU, Sweden
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Global change and animal movements - Towards a socio-ecological predictive framework

      *Project Background*
      Global change encompasses environmental, social, economic and demographic changes on planet earth. Animals are an important component of the natural world due to their crucial ecological, social, and economic role in ecosystems. Global changes driven by resource extraction, energy and infrastructure development, climate change and urbanization are dramatically affecting animal populations and their movements resulting in challenges for management, driving human wildlife conflicts as well as hindering the sustainable development and use of natural resources. In such transformed landscapes, the vital questions are, 'how', 'where', 'when' and 'why' do animals move and how do these altered movements transform the landscapes as well as human societies (ecologically, socially and economically) that depend upon these animals? Moreover, how can we better predict animal movements under 'multiuse-landscape' and 'climate change' scenarios? Using case studies of two large mammal species (reindeer and moose) that are ecologically, socially and economically important in the northern/arctic ecosystem, the project aims to answer these questions. The goal is to develop a socio-ecological movement modelling approach that goes beyond correlative or species distribution models and provides a predictive tool that can be used in developing diverse future land use scenarios, developed with and for community users and geared toward adaptation strategies in a changing world.

      *Qualifications*
      This NORDFORSK funded project seeks a candidate with a strong quantitative and modelling background in ecology, advanced skills in statistics and data analyses are almost essential as vast amount of data is already collected. A master degree in quantitative ecology or biology is desirable, or otherwise, those with a master in general ecology or biology may also apply and demonstrate their quantitative abilities. The candidate should be able to work in a multicultural and multidisciplinary environment, and have a good level of autonomy and creativity. A good knowledge of spoken English and writing skills are essential. Knowledge of Swedish and/or Sami is a plus. The expected start of the position is 1st October 2016. The place of work will be the Department of Wildlife, Fish and Environmental Studies at the Swedish University of Agricultural Sciences, Umeå, with occasional trips to the field site in northern Sweden.

      Use this APPLICATION FORM:
      http://epi-resurs.slu.se/Forskarutbildningsplatser/Application_PhDeducation_Applicant.pdf

      Further information:
      Navinder Singh, navinder.singh@slu.se, +46(0)706760103
      Göran Ericsson goran.ericsson@slu.se, +46(0)706765012

      Applications, marked with ref no SLU ua 1265/2016, must have arrived at the Registrar of SLU, P.O. Box 7070, S- 750 07 Uppsala or registrator@slu.se no later than 2016-08-31.

  • PhD Position: Modelling of infectious diseases, UNSW, Australia
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Applying mathematical models to estimate the impact and cost-effectiveness of vaccination programs

      We have a potential PhD research project in the area of infectious disease modelling, which will allow a candidate to develop and apply statistical, economic and mathematical modelling approaches. These skills are becoming increasing sought after in healthcare, both within academia and industry, and should help to build a strong foundation for a future career. The PhD candidate will have opportunities to work with leading experts at UNSW and with collaborators internationally. It will also present an excellent opportunity for an independent and self-motivated person to submit a number of peer-reviewed publications.

      Mathematical modelling is an important tool to estimate the impact of vaccination programs before they are implemented. These models can be used to predict future changes in disease both in those vaccinated and in the wider population via herd protection. The projections of program impact can then be used in cost-effectiveness models to assess the value for money that vaccination strategies offer in comparison to other potential health spending options. Estimates of cost-effectiveness are becoming a vital part of decision making process for many governments when considering the funding of new pharmaceutical interventions.

      UNSW Australia (The University of New South Wales) is one of Australia's leading research universities and is ranked in the top 50 universities internationally by the QS World University Rankings (2015). Based in Sydney, the infectious disease group at The School of Public Health and Community Medicine are a multidisciplinary research team that includes mathematicians, health economists, epidemiologists, clinicians and policy experts. We have extensive expertise in the evaluation of vaccine preventable diseases and have research collaborations with key international institutions such as the World Health Organization (WHO) and the US Centers for Disease Control (CDC).

      Websites: https://research.unsw.edu.au/people/associate-professor-anthony-newall
      https://sphcm.med.unsw.edu.au/research/health-economics
      https://sphcm.med.unsw.edu.au/research/infectious-diseases


      Applicant

      We seek an outstanding prospective PhD candidate with strong applied mathematics skills and a keen interest in applying these to important scientific and policy questions. Potential candidates should have a first class Honours degree or Masters degree with a high distinction average. Prior study can be from a variety disciplines, including mathematics, statistics, economics, computer science, engineering, physics, medical science, etc. It is not essential that the applicant have experience in the specific research area as our team has specialists who can offer training to candidates with applied mathematics skills as part of the PhD research.

      The supervisors will support the selected prospective candidate to apply for competitive PhD scholarship via UNSW, with options for domestic or international students. Those meeting the initial criteria who wish to discuss further should email A/Prof Anthony Newall (a.newall@unsw.edu.au) with a CV and copies of academic transcripts for all degrees.

  • PhD: Energy variability & genetic decision making..., Birmingham, UK
    • SMB Digest Vol 16, Issue 19 - May 11, 2016

      Title: Energy variability and genetic decision making in stochastic cells
      Supervisors: (Dr Iain Johnston) and Prof George Bassel

      FindAPhD entry:
      https://www.findaphd.com/search/ProjectDetails.aspx?PJID=74853.

      Description:

      Why do some cancer cells die immediately in response to chemotherapy, while others remain in a growing tumour? How do stem cells decide which tissue to form, and when to do so? Understanding cellular decision making is crucial in our attempts to predict how diseases will progress and to understand how cell-to-cell differences arise in biology. These decisions are often made by networks of interacting genes acting as biological "processors", with genes modulating each others' expression and governing cell behaviour [1]. A vital feature of these networks, often neglected in their analysis, is that they are embedded in a world subject to physical constraints: the processes involved in gene interactions require a source of energy, and take place in the chaotic and noisy environment that is the biological cell.

      Energy and noise are of central importance in cellular decisions: research from IGJ and others has shown that variability in mitochondria (fundamental energy sources in the cell) modulates stem cell fate choices, and that random influences (including collisions between molecules, and partitioning at cell divisions) have profound effects on cellular decisions [2]. Descriptions of gene regulation often omit these important dependences and so are only of limited use in predictive biomedical modelling, particularly in personalised medicine where biological heterogeneity is a key focus. Our ability to unify and harness biological "big data", particularly large-scale omics measurements of noisy transcript and protein populations, also suffers from this lack of a physical framework to quantify uncertainty and distinguish functional and spurious connections between genes. Clearly, appropriate physical models for the energy dependence and stochastic dynamics of gene regulation are required.

      This transformative project will develop, in concert, new modelling approaches to provide a bottom-up physical description of these important features, and new statistical tools forging a connection between these models and a wealth of currently available, large-scale, heterogeneous data. The researcher will use tools from stochastic processes [2, 3], dynamical systems [2, 4], and statistical inference (including likelihood-free approaches) [3, 5] to develop a unified descriptive and predictive theory linking regulation of energy-dependent and stochastic gene expression with noisy data. Some experience with these fields, and/or with biophysics/systems biology, will be helpful, but prior experience with biological topics is not essential. Through this research we aim to understand physical features governing variability in cellular decision making, to improve the reliability of in silico predictions of the behaviour of regulatory motifs and biological pathways (including stem cell fate decisions and cell death triggers), and to increase the statistical and interpretative power of omics data for understanding biology and disease.

      Funding Notes: Funding available for three years from the EPSRC, for UK or EU students only.

      References:
      [1] Karleback & Shamir, Nat Rev Mol Cell Biol 9 770 (2008)
      [2] Johnston et al., PLoS Comput Biol 8 e1002416 (2012)
      [3] Johnston et al., eLife 4 e07464 (2015)
      [4] Wang et al., Biophys J 99 29 (2010)
      [5] Johnston, Stat App Genet Mol Biol 13 379 (2014)

  • PhD Positions: Mathematical Biology / Medicine, QUT, Australia
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      Scholarships are available for several PhD students to join my research group. Projects that cover mathematical biology and mathematical medicine are available, and scholarships are suitable for both domestic and international students.

      A more complete description of the projects and application procedure can be found at www.austms.org.au/Jobs/Scholarship198.html and more details about my research group are available at http://mj-simpson.com.

  • PhD: T cell-mediated immune regulation, Imperial, UK
    • SMB Digest Vol 16, Issue 16 - April 20, 2016

      We have an opening for 4-year PhD studentship for a UK/EU student (3-year residency rule applies).

      To reveal the mechanism of T cell-mediated immune regulation using molecular and systems approaches
      Supervisors: Masahiro Ono (Life Sciences) and Reiko Tanaka (Bioengineering), Imperial College London

      This project will investigate dynamic mechanisms of T cell-mediated immune regulation using molecular and systems approaches. We are especially interested in how the T cell regulation mechanism develops or evolves during development and ageing. T cells are conventionally classified into regulatory (suppressive) T cells and memory T cells. It is, however, obscure how these cells develop and exhibit their functions in vivo, and such dynamic activities can be measured only by appropriately combining new molecular tools and mathematical modelling.

      During this 4-year BBSRC funded project, we aim to reveal positive and negative feedback mechanisms of the T cell system, using a combination of our newly developed transgenic technology that measures the time-dependent dynamics of T cells in vivo and computational/mathematical modelling and simulation.

      Reference: http://www.nature.com/icb/journal/v94/n1/full/icb201565a.html

      Closing date: 29 April 2016
      Initial applications should include a full CV, names and addresses and contact details of two academic referees, a personal statement (500 words max) and a covering letter.
      Contact: Masahiro Ono (m.ono@imperial.ac.uk); Reiko Tanaka (r.tanaka@imperial.ac.uk)

  • PhD: Modelling visuomotor coordination..., Exeter, UK
    • SMB Digest Vol 16, Issue 16 - April 20, 2016

      I have an open PhD Positions in my group at the University of Exeter. I am looking for PhD students with quantitative background (mathematics, physics, computer science or engineering) who are interested in applying their skills in solving biomedical and/or healthcare problems.

      Carlota Palmer Studentships:

      2. Modelling visuomotor coordination in People with Parkinson's Disease

      For further details and how to apply see:
      http://www.exeter.ac.uk/studying/funding/award/?id=2159

      Please feel free to contact me if you have any questions regarding these positions.

      Krasimira Tsaneva-Atanasova

      ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

  • PhD: Math Modeling in Animal/Vet. Science, U. of Newcastle, UK
    • SMB Digest Vol 16, Issue 13 - March 30, 2016

      PhD studentship: Mathematical modeling in Animal/Veterinary Science, University of Newcastle, UK

      School of Agriculture, Food and Rural Development, University of Newcastle
      Funding per year: £16,557 (with Industrial Enhancement) + tuition fees
      Start and duration: 1 October 2016 for 4 years
      Closing date for applications: 14 May 2016
      Sponsors: BBSRC, KTN, AB Vista

      This project will use a range of mathematical and statistical modeling techniques to predict the digestion and metabolism of two macro-minerals essential in livestock feeding: Calcium and Phosphorus. The ultimate goal is to incorporate the model into a user-targeted tool. The project has both theoretical and applied training components and focuses on learning quantitative skills as well as the relevant context of nutrition and metabolism, offering a practical perspective of modeling and opportunities for gaining research experience linked to the agri-food industry.

      For further details see:
      http://www.ncl.ac.uk/postgraduate/funding/sources/ukeustudents/ag029.html or contact Professor Ilias Kyriazakis at ilias.kyriazakis@newcastle.ac.uk

Postdoctoral positions

(Click on job title for additional information.)
  • Post-doc: Computational Epigenetics, NIH
    • SMB Digest Vol 16, Issue 33 - August 16, 2016

      Department of Health and Human Services National Institutes of Health, National Institute on Aging

      Postdoctoral opportunity in Computational Epigenomics at the National Institutes of Health, USA

      A competitive postdoctoral fellowship is available, pending approval, at the National Institute on Aging, NIH, for developing computational methods to analyze high-throughput sequencing- based chromatin assays. The successful applicant will work in the laboratory of Dr. Myong-Hee Sung, Transcription Systems Dynamics and Biology Unit located on the Johns Hopkins Bayview campus, Baltimore, Maryland.

      We are seeking highly motivated recent Ph.D. scientists who are interested in investigating outstanding questions in epigenomics using statistical and computational tools. An ideal candidate will have a Ph.D. degree in mathematics, physics, engineering, or a related quantitative discipline, and has some knowledge in molecular biology or genomics methods. Proficiency in one or more programming languages such as C++, Python, R, MATLAB, Perl is required, in addition to familiarity of commonly used computational genomics tools. To apply, please send a cover letter, curriculum vitae, and contact information for 3 references to: sungm@mail.nih.gov

      Relevant publications:
      -Sung MH et al. Genome-wide footprinting: ready for prime time? Nature Methods 2016 (PMID: 26914206)
      -Sung MH et al. DNase footprint signatures are dictated by factor dynamics and DNA sequence. Molecular Cell 2014 (PMID: 25242143)
      -Kieffer-Kwon KR et al. Interactome maps of mouse gene regulatory domains reveal basic principles of transcriptional regulation. Cell 2013 (PMID: 24360274)


      About training at NIH: Postdoctoral training in the NIH Intramural Research Program (IRP) provides the opportunity for recent doctoral degree recipients to enhance their research skills in the resource-rich National Institutes of Health (NIH) environment, which consists of more than 1200 laboratories/research projects located on the main campus in Bethesda, MD and the surrounding area as well as in Baltimore and Frederick, MD; Research Triangle Park, NC; Hamilton, MT; Framingham, MA; and Detroit, MI. Trainees pursue basic, translational, and clinical research free from the demands of obtaining grants and teaching, although opportunities to do both are available. At the NIH, postdocs work in a highly collaborative research environment with leading scientists and clinicians. The postdoctoral community at the NIH is large (approximately 4,000 strong) and vibrant. Trainees come from across the U.S. and around the world. Support for international postdocs is provided by the NIH Division of International Services.

      Eligibility: To be eligible for postdoctoral training in the NIH IRP, individuals must hold a doctoral degree (PhD, MD, DDS, or the equivalent) and have no more than five years of relevant research experience since receipt of their most recent doctoral degree. U.S. citizens and permanent residents are appointed to Postdoctoral Intramural Research Training Awards (IRTAs); citizens of other nations are appointed as Visiting Fellows.

      Stipend and Benefits: The stipends for postdoctoral trainees at the NIH are adjusted yearly; with supplements for prior experience, multiple degrees, and expertise in areas of current interest to the NIH such as mathematics, engineering, chemistry, and bioinformatics. Note that stipends for Postdoc IRTAs and Visiting Fellows are identical. Benefits include health insurance for the trainee and his/her family, and support for coursework related to the trainee's research and travel to meetings is often available. In addition, the NIH Fellows Committee (FelCom) and the NIH Office of Intramural Training & Education (OITE) sponsor a wide range of career development and social activities. The OITE includes an Office of Postdoctoral Services, a Career Services Center and Career Library.

      DHHS and NIH are Equal Opportunity Employers. The NIH is dedicated to building a diverse community in its training and employment programs.

  • Postdoctoral Fellowship in Modelling and Simulation, BCAM
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      BCAM, the Basque Center for Applied Mathematics http://www.bcamath.org whose mission is to develop high quality interdisciplinary research in the frontiers of Applied Mathematics, has opened the following positions:

      ONE Postdoctoral Fellowship in Modelling and Simulation in Life and Materials Sciences

      Deadline for submission: September 20 2016, 17:00 [UTC/GMT + 1 hour]. All applications must be submitted on-line at: http://www.bcamath.org/en/research/job

      We kindly ask you to distribute this call among colleagues and potential candidates. Please, do not hesitate to contact us if you need further information: recruitment@bcamath.org.

  • Postdoctoral Investigator: Metacommunity Dynamics, Woods Hole
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Postdoctoral Investigator: Hydrothermal Vent Metacommunity Dynamics Biology Department, Woods Hole Oceanographic Institution

      We seek a postdoctoral investigator to develop and analyze mathematical models describing the processes that generate patterns of species diversity observed at deep-sea hydrothermal vents. We are particularly interested in how metacommunity processes - including dispersal, disturbance, and succession - interact to drive patterns of diversity.

      The ideal candidate will have completed a Ph.D. in Applied Mathematics, Biological Oceanography, Ecology, or a related discipline and have demonstrable expertise in mathematical ecology (in particular, the mathematical modelling of population and/or community dynamics). The successful applicant will work with the three PIs (Michael Neubert, Lauren Mullineaux, and Julie Kellner) at the Woods Hole Oceanographic Institution, in Woods Hole, Massachusetts. The Institution has a top-rated postdoctoral program (www.whoi.edu/postdoctoral/) that supports a dynamic postdoctoral community with formal mentoring and career guidance programs. While the primary focus of the work will be on research, the postdoctoral investigator will have an opportunity to participate in educational and outreach activities associated with the project.

      We will begin reviewing applications August 15, 2016 and the position will remain open until filled (preferably by the end of the year). The initial appointment will be for one year, with the possibility of extension for a second year based upon performance.

      Please contact Michael Neubert (mneubert@whoi.edu), Lauren Mullineaux (lmullineaux@whoi.edu), or Julie Kellner (jkellner@whoi.edu), with questions about the project. To apply, please submit, as a single pdf file, an application (including a short cover letter, a curriculum vita, a statement of past research experience and future interests, contact information for three references, and at most two relevant manuscripts), to Michael Neubert and online (bit.ly/1Rj2zKj).

      WHOI is an Affirmative Action/Equal Opportunity Employer/Disabled/Veterans/M/F. We encourage veterans and those with disabilities to apply. Applications are reviewed confidentially. Applicants that require accommodation in the job application process are encouraged to contact the Human Resources Department at (508) 289-2253 or email eeo@whoi.edu for assistance. WHOI is a member of the Higher Education Recruitment Consortium (HERC). We are sensitive to the issues of dual career candidates and we will work with applicants to address them. Please visit HERC for more information.

  • Post-docs: Drug Toxicity & Epidemic/AMR Model., U Liverpool, UK
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      We are looking to appoint two post-doctoral researchers to our EPSRC-funded Liverpool Centre for Mathematics in Healthcare (https://www.liverpool.ac.uk/mathematical-sciences/research/centre-for-mathematics-in-healthcare/). The positions match two of the three main themes of the centre.

      Position 1: A 2-year position to start in autumn 2016. The research will investigate drug toxicology using multi-scale modelling approaches. The aim of this project is to develop a framework for generating 3D spatial-temporal models to predict liver toxicity. There is flexibility in the research depending on the background and interests of the appointed candidate. For example, the focus could be on developing constitutive equations for drug transport using homogenisation techniques, or on how population heterogeneity affects the dynamical system representing the drug metabolic pathway. More details on the position and how to apply can be found here https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/001144.

      Position 2: A 3-year position to start in autumn 2016. The research will investigate the evolution of antimicrobial resistance in a heterogeneous healthcare environment. This will be used to inform healthcare policy on the prescription of antibiotics. There is flexibility in the research depending on the background and interests of the appointed candidate. The research is likely to be a blend of application with theoretical developments in the dynamics of co-existence and evolution. More details on the position and how to apply can be found here https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/001146/.

      The deadline for applications for both positions is Monday 29th August.

  • Post-docs: Math Biology, U Maryland
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Statistical Ecology

      We seek a quantitative researcher with fluency in statistics to work in a team environment on projects related to animal movement. Example topics include analyzing a dataset on the movements of monkeys in 3 dimensions and developing/refining methods for dealing with barriers in the continuous- time movement modeling framework. The person must be able to work productively in a team environment that includes physicists and ecologists. Knowledge of R is necessary and experience with spatial statistics and/or signal processing is desirable. Previous experience with movement ecology is not required, but would be beneficial. We are particularly interested in someone with these quantitative skills who also has a documented history of writing papers in ecological journals. This postdoc is funded through a combination of NSF and institutional funds. Funding is available for one year, with the possibility of an extension to two years. Project leaders are: Justin Calabrese, Smithsonian Conservation Biology Institute Bill Fagan, Univ. of Maryland

      Epidemiological Modeling

      We seek a postdoctoral researcher with a background in mathematics, mathematical biology, or a related field to aid in developing, analyzing, and simulating models of tick and mosquito-borne diseases. Example topics include analytical / computational models of diseases with multiple hosts, parameterizing detailed disease models and fitting them to prevalence data, and studies of how seasonality and climate change influence disease dynamics. Ability to work in a team environment is essential. At a minimum, applicants should have experience with analysis of ordinary and partial differential equations. Experience with non-autonomous and/or delay differential equations would be beneficial. Those with experience using control techniques are especially encouraged to apply. Coursework or some other background in epidemiology is preferable but not required. Funding, which is available for one year, with the possibility of an extension to two years, is through a US Dept of Defense project entitled "Biological Timing and the Transmission of Arthropod-Borne Diseases," which includes collaboration with mathematician Folashade Agusto (University of Kansas). Project leaders are: Sharon Bewick & Bill Fagan, Univ. of Maryland Justin Calabrese, Smithsonian Conservation Biology Institute

      Start dates for both positions are September to December 2016, but can be adjusted for the right candidate. For both positions, please send CV, short statement of interest, and contact info for 3 references to: bfagan@umd.edu

  • Post-doc: Forest-Grassland Ecotones, U Guelph, Canada
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      Postdoctoral researcher in modelling forest-grassland ecotones,University of Guelph, Canada

      We are seeking a PDF for a large collaborative project on modelling forest-grassland ecotones in the face of global ecological changes including agriculture and climate change. The candidate should have a strong background in ecological modelling (mathematical and/or computational), some experience with field work in terrestrial systems and/or using empirical data in modelling, and a strong related publication record. Start date in 2016 or early 2017. More information can be obtained by contacting Prof. Madhur Anand, anand.madhur@gmail.com, at the Global Ecological Change & Sustainability Laboratory, University of Guelph. Please include a CV with your enquiry, and note that we cannot respond to all enquiries.

  • Post-doc: Computational Epidemiology, Simon Fraser U, Canada
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      Are you a creative, motivated, and talented researcher with a background in mathematics, computer science, quantitative biology or operations research? Do you have an interest in making a difference in infectious disease research? Then this is the opportunity for you!

      Our group explores a range of problems centred around the study of infectious disease genomes. Our projects straddle computational and systems biology, epidemiology, and public health policy; our current projects include:

      -an integrative analysis of genomic markers (SNPs, copy numbers, MLST, rearrangements), with the goal of identifying epidemiologically-related strains during a bacterial outbreak
      -analysis and visualization of genetic, geographic and temporal patterns in an outbreak, with the goal of identifying transmission hotspots and risk factors for tuberculosis
      -identification and dynamical modelling of bacterial diversity within ticks, with the goal of understanding the ecological processes driving the evolution of Lyme disease pathogens


      Our North American collaborators include the British Columbia Centre for Disease Control (BC CDC), the British Columbia Centre for Excellence in HIV/AIDS (BC-CfE), and the New York City Department of Health and Mental Hygiene (NYC DOHMH). We also collaborate internationally with groups in the United Kingdom, France, Germany, India, China and South Africa.

      The ideal candidate for this position will have:
      -a PhD in a quantitative discipline (mathematics or computer science preferred) by August 2016
      -a strong publication record (at least two published papers and one other in preparation)
      -an interest in designing models and algorithms for solving biological or epidemiological problems
      -advanced knowledge of at least one of: C++, Java, MATLAB, Python, R
      -expertise in discrete mathematics, combinatorial optimization, machine learning or statistics
      -experience in designing and building robust computational pipelines in a Unix-like environment

      A complete application should include a statement of interest, a CV, the names of 2 references, and a link to the repository of a programming project you took part in. Please submit applications to Leonid Chindelevitch, leonid@sfu.ca, with "Postdoctoral fellowship" in the subject line. All applications will be considered; preference is given to Canadian citizens or permanent residents. The starting date is September 1, 2016, and the position will remain open until filled.

  • Post-doc: Whole-cell Modeling, Mt Sinai, New York City
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious researchers to develop cutting-edge whole-cell computational models of individual cells, as well as new technologies to enable larger and more accurate whole-cell models. Despite the explosion of experimental data, we do not understand the details of how phenotype arises from genotype and the environment. We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. For example, we believe that whole-cell models could enable bioengineers to design microbial genomes for a variety of industrial applications, as well as enable physicians to tailor medical therapy to individual patients. Our research is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.

      Responsibilities
      We are currently looking for team members in three areas:

      -Human whole-cell modeling. The candidate will develop a whole-cell model of human embryonic stem cells and use the model to gain insights into pluripotency maintenance among other fundamental cell behaviors. This will include aggregating and organizing experimental data, designing submodels, integrating submodels, fitting models, validating models, analyzing simulations, and using models to generate new hypotheses. There are also many opportunities to contribute to the development of new whole-cell modeling methods and tools. The candidate will work closely with our team at Mount Sinai, including our experimental collaborators.

      -Bacterial whole-cell modeling. The candidate will lead the development a whole-cell model of the reduced bacterium Mycoplasma pneumoniae and use the model to design more predictable, faster-growing, and non-virulent strains that could serve as chassis for future bioengineering such as a bacterial-based drug synthesis and delivery system. This includes expanding the scope of whole-cell models; improving the accuracy of whole-cell models; using new types of genomic data to train whole-cell models; systemizing the construction, representation, and simulation of whole-cell models; and developing new methods to use whole-cell models to design genomes. The candidate will work closely with our team at Mount Sinai, as well as our Minicell consortium experimental collaborators: Maria Lluch-Senar and Luis Serrano at the Center for Regulatory Genomics in Spain; Yonaton Arfi, Alain Blanchard, Carole Lartigue, and Pascal Sirand at the National Institute for Agricultural Research in France; and Jörg Stülke at the University of Göttingen in Germany. This project is supported by the NSF and ERASynBio.

      -Whole-cell modeling methods and technology development. To enable larger whole-cell models, including models of human cells, the Postdoctoral Fellow/Engineer will develop new methods for simulating large, multi-algorithmic whole-cell models. This will include developing a new algorithm for concurrently integrating mathematically heterogeneous submodels that share state and implementing this as a high-performance, parallel simulation software system. The Postdoctoral Fellow/Engineer would work closely with our team at Mount Sinai, as well as our parallel simulation collaborators Drs. Peter Barnes and David Jefferson at Lawrence Livermore National Laboratory and our broader international team of collaborators. The Postdoctoral Fellow/Engineer would also have many opportunities to work with our team to build and analyze whole-cell models.

      Desired skills/experience Whole-cell modeling is a highly interdisciplinary problem. Consequently, we're looking for people with a broad range of skills and experience. The ideal candidate has the following skills. Applicants with related experience are also encouraged to apply.
      -PhD in computational biology or related field;
      -Strong experience in dynamical and/or genome-scale modeling;
      -Broad knowledge of cell biology, genomics, mathematics, and computer programming;
      -Deep commitment to innovation and desire to tackle the most challenging problems;
      -Abilities to solve challenging problems by thinking creatively, integrating diverse concepts, and pushing through barriers;
      -Passion for transforming bioengineering and medicine;
      -Excellent oral and written communication skills; and
      -Abilities to work independently and within a team.

      Salary Commensurate with experience and education.

      Benefits All employees are eligible for medical, dental, and health insurance. Subsidized housing is available for postdoctoral fellows.

      About the Institute for Genomics & Multiscale Biology and the Icahn School of Medicine at Mount Sinai The Icahn Institute for Genomics & Multiscale Biology is a leader in basic and translational genomic and computational biology research. The institute's multidisciplinary researchers bring state-of-the-art genomic technologies together with advanced computational analyses to discover new disease mechanisms, develop new diagnostics, and identify new drug targets. The institute is a highly collaborative and interdisciplinary environment. Please see the institute's website for more information.

      The Icahn School of Medicine at Mount Sinai is a world leader in translational medicine. The school's multidisciplinary research institutes foster collaboration along a seamless continuum from the laboratory to patient care. State-of-the-art laboratories support groundbreaking research, and abundant clinical venues offer superb patient care and training.

      More information Please see our website (http://www.karrlab.org/join) or contact Jonathan Karr (karr@mssm.edu).

      How to apply Please email a cover letter outlining your research interests and a CV to Jonathan Karr (karr@mssm.edu).

  • Postdoctoral opportunity: Clostridium difficile dynamics, NCSU
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      One postdoctoral associate position on infectious disease modeling is available in Cristina Lanzas' group (Department of Population Health and Pathobiology, North Carolina State University). Applicants with a background in mathematical modeling of infectious diseases and/or population biology are highly encouraged to apply.

      The successful candidate will join an interdisciplinary group modeling Clostridium difficile dynamics in health-care settings. Clostridium difficile is one of the most common health-care associated pathogens. The group is developing mean-field and agent-based models. The postdoctoral fellow will ideally work in expanding existent models to integrate multiple scales and data sources (e.g. omic, clinical and epidemiological data), linking C. difficile within host dynamics and transmission.

      The postdoctoral associates shall have a Ph.D. degree in a relevant quantitative discipline (ecology, epidemiology, engineering, applied mathematics, statistics and related fields) and have a deep interest in interdisciplinary collaboration, strong quantitative skills and good oral and writing skills are expected. The applicants must have experience in R and/or MATLAB. Previous experience developing and implementing agent-based models and/or multi-scale models is desirable. The salary will be commensurate with the qualifications and experience of the individuals. Review of applications will begin July 11th and will continue until a suitable candidate is identified.

      Interested applicants should submit a letter of intent, curriculum vitae and the names and contact information for three references to clanzas@ncsu.edu.

  • Postdoctoral opportunity: Modeling viral evolution, UPMC, France
    • SMB Digest Vol 16, Issue 27 - July 5, 2016

      Dr. Igor Rouzine at LQCB, Institut de Biologie Paris-Seine, Universite Pierre et Marie Curie, Paris, seeks to fill two postdoctoral positions to model viral evolution on multiple scales of biological organization. The Laboratory of Quantitative and Computational Biology offers a unique environment of four experimental and five theoretical teams working on different biological topics. The topics of this project, conducted in collaboration with data analysts and experimental teams at UPMC and elsewhere, include applied virus evolution (virulence, evasion of immune response), general mathematical methods and numeric tools, and HIV pathogenesis. Clinically, the project is connected to the development of new types of therapy, vaccines, and personalized medicine. The candidate should possess solid numeric and some analytic skills and have some experience in modeling biological systems. A successful candidate will be intellectually independent but flexible and able to thrive in an interdisciplinary environment. Results will be published in leading journals and used to guide experiments of collaborating teams. The positions will start in the Fall of 2016, October 1, and will remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to igor.rouzine@ucsf.edu.

  • Postdoc Position: Department of Engineering Science, University of Oxford
    • SMB Digest Vol 16, Issue 26 - June 29, 2016

      Grade 7: Salary in the range £30,738 - £37,768 p.a. We seek a Postdoctoral Research Assistant to join the Control Engineering group in Engineering Science (central Oxford). The position is funded by EPSRC and is fixed-term for up to 36 months. This post is at the interface of Synthetic Biology and Control Engineering. You should have a good first degree in engineering or mathematics and have completed or about to complete a doctorate in control engineering/dynamical systems or mathematical biology. A good publication record commensurate with your stage of career is expected. You must have the organisational skills and initiative to carry out independent research and be able to work as part of an interdisciplinary team. Experience of developing mathematical algorithms and simulations, in modelling biological systems and in the analysis and design of feedback control systems is essential. The successful candidate will benefit from an international collaboration with MIT, ETHZ, the Caltech and KAIST as well as Microsoft Research, Cambridge and will become part of the growing and flourishing Synthetic Biology community in Oxford. The work will be partly mathematical, partly computational and will involve close interaction with researchers in the biological sciences. Informal enquiries may be addressed to Professor Antonis Papachristodoulou (email: antonis@eng.ox.ac.uk). Further information can be found at www.eng.ox.ac.uk/jobs/home You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. Only applications received before 12.00 midday on 8 July 2016 can be considered. The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

  • Postdoc Position: Mathematical modeling of viral evolution and dynamics, UCSF, San Francisco
    • SMB Digest Vol 16, Issue 26 - June 29, 2016

      Prof. Andino at the Department of Molecular Biology and Immunology, University of California, San Francisco, anticipates one or several postdoctoral openings to model dynamics and evolution of viruses at multiple levels of biological organization. The successful candidate will participate in a large interdisciplinary project to develop a new type of antiviral therapy against a broad range of human viruses. The team comprises leading virologists, modelers, and data analysts from IBM, Boston University, University of Haifa, and other organizations. The candidate should possess excellent numeric and solid analytic skills and have experience with reading biological literature and modeling biological systems. We seek individuals who are intellectually independent but open and flexible and can thrive within an interdisciplinary environment. The results used to guide collaborating groups in the design of antiviral agents, as well as published in leading biological journals. The anticipated positions, pending funding approval, will start October 1, 2016, and remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to Dr. Rouzine (igor.rouzine@ucsf.edu)

  • Postdoc: Computational Cognitive Modelling, Vanderbilt University, USA
    • SMB Digest Vol 16, Issue 25 - June 22, 2016

      This position is for a postdoctoral fellow as part of an NSF-funded project entitled "The Impact of Dynamically Changing Information on Decision Processes". Applicants will join a collaboration at Vanderbilt University between Dr. William Holmes (Physics) and Dr. Jennifer Trueblood (Psychology) with the aim of using computational models to understand how people make decisions in dynamic environments.

      Candidates should hold a Ph.D. in a quantitative field such as physics, mathematics, computer science, engineering, neuroscience, psychology, or related disciplines. A background in psychology is not required. The following skills are strongly desired:

      1. Background in computational modelling in an interdisciplinary setting.

      2. Solid programming skills, including in MATLAB.

      3. Some experience with parallel computing either in the MATLAB environment or in C, Fortran, CUDA, or OpenCL.

      4. Experience with model fitting (particularly using Bayesian methods) is a plus.

      5. Demonstrated scientific expertise, with publications in refereed journals.

      For further information, see (https://my.vanderbilt.edu/holmesw/people/). Please submit a cover letter including a brief statement of career goals, curriculum vitae, one example publication / manuscript, and contact information of three references. To apply or to request further information, contact Dr. William Holmes at william.holmes@vanderbilt.edu. Review of applications will begin immediately and will continue until the position is filled.

  • Postdoc: Modeling viral dynamics and evolution, UPMC, France
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Dr. Igor Rouzine at LQCB, Institut de Biologie Paris-Seine, Université Pierre et Marie Curie, Paris, seeks to fill two postdoctoral positions to model dynamics and evolution of viruses on multiple scales of biological organization. The Laboratory of Quantitative and Computational Biology offers a unique environment of four experimental and five theoretical teams working on different biological topics.

      The topics of this project, conducted in collaboration with data analysts and experimental teams at UPMC and elsewhere, include applied virus evolution (virulence, evasion of immune response), general mathematical methods and numeric tools, and HIV pathogenesis. Clinically, the project is connected to the development of new types of therapy and personalized medicine. The candidate should possess solid numeric and analytic skills and have some experience in modeling biological systems. A successful candidate will be intellectually independent but flexible and able to thrive in an interdisciplinary environment. Ph.D. degree in physical sciences is preferred but not required. Results will be published in leading journals and used to guide experiments of collaborating teams. The positions will start in the Fall of 2016, October 1, and will remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to igor.rouzine@ucsf.edu.

  • Postdocs: Modeling to develop new types of antiviral therapy, UCSF, USA
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Prof. Andino at the Department of Molecular Biology and Immunology, University of California, San Francisco, anticipates a strong possibility of one or several postdoctoral openings starting in October 1 to model dynamics and evolution of viruses at multiple levels of biological organization. The successful candidate will participate in a large interdisciplinary project to develop new types of antiviral therapy with the participation of leading virologists, modelers, and data analysts from IBM, Boston University, University of Haifa, Université Pierre et Marie Curie, and other organizations. The candidate should possess excellent numeric skills and have previous experience in modeling biological systems. We seek individuals who are intellectually independent but open and flexible and can communicate with an interdisciplinary team. Ph.D. in physical sciences is preferred but not required. The results will be published in leading journals and used to guide experiments of collaborating groups. The anticipated positions, subject to funding approval, will start in the Fall of 2016, October 1, and remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to Dr. Rouzine, igor.rouzine@ucsf.edu.

  • Postdoc: Disease Ecology, University of Minnesota, USA
    • SMB Digest Vol 16, Issue 22 - June 1, 2016

      MULTIPLE POST-DOCTORAL POSITIONS IN DISEASE ECOLOGY
      Department of Ecology, Evolution, and Behavior; University of Minnesota

      Our research group seeks to hire 2-3 motivated and conceptually driven post-doctoral associates to work collaboratively using empirical and/or theoretical approaches to test community ecology and behavioral ecology theory in pathogen communities. This work will focus on, but not necessarily be limited to
      (i) investigating the role of vector behavior on pathogen dynamics,
      (ii) testing the relevance of resource competition and metacommunity theory to pathogen communities, and
      (iii) investigating the interactions between disease and movement broadly.

      The successful applicant will work within a collaborative research team of faculty, postdoctoral researchers, and graduate students that includes expertise in using mathematical, statistical, and empirical approaches in behavioral, community, and disease ecology. We are particularly interested in applicants with strong skills in mathematics, statistical and analytical techniques, or molecular techniques relevant to the detection of phytoviruses using qPCR or metagenomics techniques. Demonstration of excellent writing skills are is an essential qualification for these positions. The appointment is initially for one year, but may be renewed annually. Starting date is negotiable and may begin as soon as possible.

      Questions about this position should be addressed to Drs. Allison Shaw (ashaw@umn.edu), Elizabeth Borer (borer@umn.edu), or Eric Seabloom (seabloom@umn.edu).

      Review of applications will begin 15 June 2016 and positions will remain open until filled.

      Apply for this position (Job Opening ID: 310245) via the University of Minnesota Office of Human Resources website: http://www1.umn.edu/ohr/employment/

  • Postdoc: Mathematical Epidemiology, University of Utah, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      This position provides research support for mathematical and computer modeling projects in support of public health decision making for healthcare epidemiology, within the University of Utah Health Sciences Center. The postdoctoral fellow will work on one or more funded projects aimed at modeling interventions to reduce the incidence of healthcare associated infections in a regional network of hospitals and nursing homes. Within this scope, the postdoctoral fellow will have the opportunity to focus on theoretical and applied modeling topics of interest, including network epidemiology, antibiotic resistance and stewardship, strain competition, vaccine immunology, modes of transmission, and optimal intervention strategy.

      Essential Functions:
      1. Provides support for scientific literature search and synthesis of reviewed literature
      2. Assists in planning and executing models and computer simulations according to project needs
      3. Prepares and communicates research results in written and oral summary
      4. Works collaboratively with supervisor and other project team members in supporting project needs

      Minimum Qualifications:
      This position requires expertise in mathematical modeling and computer programming with a minimum of a PhD degree, computer programming skills, an ability to manage deadlines, good writing and communication skills, and an ability to effectively work within a multi-disciplinary collaborative environment.

      Interested candidates should apply online at https://utah.peopleadmin.com/postings/51445

  • Postdoc: Biomechanics, University of Manchester, UK
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      Applications are invited for a 2.5-year position focused on the biological physics and mechanics of the human placenta. The post is supported by a recently-awarded MRC Grant "Blood flow (dys)regulation and transfer function in the human placenta: an integrated in silico and ex vivo approach to fetal growth restriction".

      You will join a rapidly expanding effort in biomechanics within the School of Mathematics, working directly with Dr I. L. Chernyavsky and Professor O. E. Jensen, in close collaboration with physiologists and clinicians from the Institute of Human Development and the University of Southampton. This position forms a part of a wider recruitment that will involve employment of a Research Associate in experimental placental physiology to support the mathematical modelling effort.

      The theoretical part of the project lies at the interface between applied mathematics, continuum mechanics, multi-scale physics, spatial statistics and image analysis. The main aim of this project is in development of integrated analytical and computational techniques, informed by experimental data, for the study of flow and transport processes in the human placenta, a unique and critically important interface between the maternal and fetal circulations.

      You will hold (or be about to complete) a PhD in Applied Mathematics, Physics, Bioengineering, or a closely related field. You will have a solid track record of publications relevant to the project area, and a strong aptitude for interdisciplinary research. For further information and details of how to apply, please visit our web site https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11498 or contact Dr Chernyavsky (Igor.Chernyavsky@manchester.ac.uk).

      The closing date for applications is 16 June 2016

  • Postdoc: Bacterial growth..., INRIA Grenoble - Rhâne-Alpes, France
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The IBIS group at INRIA Grenoble ­ Rhône­Alpes, in collaboration with the Laboratoire Interdisciplinaire de Physique of the Université Grenoble Alpes, is looking for a post­doctoral researcher to work on the mechanistic basis of growth rate control in bacteria. In particular, in the framework of the RESET project (https://project.inria.fr/reset/fr/project/), we are studying the relation between RNA polymerase expression and growth rate variability, under a variety of conditions, using single­cell time­series reporter gene data, image analysis, and mathematical modeling (Izard, Gomez Balderas et al., Mol. Syst. Biol., 11:840, 2015).

      Applicants are expected to have a background in biophysics, mathematical biology, or bioinformatics, with a strong interest in the application of quantitative methods to the study of biological systems. We offer a one­-year contract in an interdisciplinary and international environment in our research centre located in the French Alps (https://team.inria.fr/ibis/).

      For more information on the position and for applications, please contact Hidde de Jong (Hidde.de-Jong@inria.fr). Applications should be accompanied by a CV and a motivation letter.

  • Postdoc: Plant modelling, INRA Avignon, France
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The INRA GAFL and PSH units are seeking a highly-qualified post-doctoral researcher to work on a project on genotype-phenotype kinetic modelling, in France. The successful candidate should hold a PhD with a background in modelling, and also have experience in parameter estimation, optimization and sensitivity analysis. The appointment is for 2 years, with a start date by the end 2016 or early 2017.

      The objective of this project is to integrate the genetic control of sugar metabolism in an existing kinetic model (Desnoues et al, in preparation) and to use it for ideotype design. At term, an improved optimisation strategy together with the mechanistic nature of the model have the potential to facilitate the discovery of new genes of interest for the modification of sugar metabolism.

      The position depends on the success of the project proposed to AgreenSkills/ AgreenSkills+.

      For details and application, candidates can contact Dr. QUILOT-TURION Bénédicte at benedicte.quilot@avignon.inra.fr.

  • Postdoctoral Fellow: Quantitative Systems Pharmacology, Pfizer, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      Job Title: Postdoctoral Fellow - Cardiovascular and Metabolic Diseases
      Research Unit, Quantitative Systems Pharmacology, 1026494
      Location: United States-Massachusetts-Cambridge

      The Quantitative Systems Pharmacology (QSP) Lab in Pfizer's Cardiovascular and Metabolic Diseases (CVMET) Research Unit is responsible for developing insights to help advance CVMET clinical candidates and identifying and evaluating promising new therapeutic targets through physiologically-based modeling and simulation, and analysis and interpretation of preclinical and clinical data. We seek a highly motivated postdoctoral candidate to develop and analyze mechanistic, mathematical models of cardiomyocyte biophysics to enable the in silico testing of mechanistic hypotheses and improve the identification and evaluation of therapeutic targets for the treatment of heart failure (HF).

      The successful candidate will apply quantitative systems modeling and simulation methods to develop a validated mathematical model that couples cellular electrophysiology and ion transients to cellular metabolism, mitochondrial function, and contractile force generation in human cardiomyocytes. In addition to enabling in silico identification and assessment of HF drug targets, the successful candidate will pursue new avenues for scientific development in areas of QSP modeling, cellular biophysics, data analysis, and uncertainty quantification. The mechanistic insights gained from detailed analyses of the in silico model will generate physiological hypotheses that may be tested experimentally and/or in the clinic. The expectation is that the resulting findings will lead to improved confidence in rationale for the pursuit of novel agents for the treatment of heart failure.

      To be considered for this position, please apply at www.pfizercareers.com by searching Job ID 1026494.

  • Postdoc: HIV Modeling, University of British Columbia, Canada
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 We are seeking a postdoctoral fellow to work on detailed modelling of HIV spread among gay, bisexual and other men who have sex with men (MSM) in Canada. The primary objective for our modelling research is to examine the real and potential impact of an innovative internet-based testing program for MSM, establishing a foundation which can then be extended by the postdoc in this position to a range of other testing and prevention interventions for this population. This postdoc position offers an excellent opportunity to gain experience in the translation of model results into real world public health policies and practice.

      The successful candidate will join a public health modelling team headed by Dr. Mark Gilbert (BC Centre for Disease Control, University of British Columbia (UBC), Ontario HIV Treatment Network) and Dr. Daniel Coombs (Department of Mathematics, UBC), working with provincial, national and international collaborators. The position will be based in Vancouver, working alongside the research team as well as public health staff, community agencies, and policy-makers involved with the implementation of these interventions.

      The ideal candidate will have the following skills:
      (A) excellent interpersonal skills, being able to communicate effectively with a wide range of stakeholders, including public health professionals, health care economists, and staff working in community-based organizations in the area of HIV prevention for MSM;
      (B) be a creative modeller, and able to compute from very simple ODEs to fairly complex simulation/network models;
      (C) be able to work independently to assimilate data from epidemiologic and sociological studies into the model framework (as well as primary analysis of data from cohorts of HIV negative and positive men in Vancouver and a large online survey of MSM across Canada);
      (D) be familiar with epidemic (or similar) modelling, analysis and computation, including stochastic models.

      Prior experience working on public health modelling projects is an asset. This is primarily a research position but there may be opportunities to gain teaching experience, depending on the candidate. Competitive salary and benefits. This is a two-year position.

      For additional information or enquiries please contact Mark Gilbert (mgilbert@ohtn.on.ca) or Daniel Coombs (coombs@math.ubc.ca). Applications (with CV, research statement and names of two references) should be sent to Kim Thomson by June 1, 2016. Email: Kimberly.Thomson@bccdc.ca

  • Postdoc: Disturbance Ecology, Penn State, USA
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      A UK-US NSF-NERC joint-funded postdoctoral position is available to study the interplay between diversity, disturbance and invasion, using experimental microcosms to illuminate ecological theory.

      Invasion by alien species represents a major threat to the maintenance of the world's biodiversity. Biological invasions also have significant economic and environmental impacts on agriculture, epidemiology and conservation. Unfortunately, our current understanding of the processes involved, and hence our ability to manage disturbed systems, is hampered by the large number of interacting factors that can affect invasion. This project will examine how biological diversity and environmental perturbations interact to affect invasion, using a mix of experiments and theoretical research. The project will focus on experimental populations of microbes, combined with a related modeling agenda, to study: 1) the effect of independent, and combined, manipulation of disturbance and diversity on invasion success; and 2) the role of pre-adaptation to disturbance regimes in mediating invasion resistance. The postdoc will additionally assess the hypothesized importance of pre-adaptation to disturbance regimes by assessing invasion success following changes to previously established regimes. The project will involve successive iterations between these large bacterial community experiments and system-specific and general theory.

      Research will be based in the laboratory of Dr. Katriona Shea (https://kshealab.wordpress.com/) in the Department of Biology at The Pennsylvania State University, USA, with experimental work conducted in the laboratory of Dr. Angus Buckling (http://biosciences.exeter.ac.uk/staff/index.php?web_id=Angus_Buckling) at the University of Exeter Cornwall campus, UK. Please contact Katriona Shea (k-shea@psu.edu; +1 814-321-4809) for more information.

      We seek a postdoctoral researcher who has expertise in ecological/ evolutionary modeling with a clear interest in applications to community ecology and a strong desire to integrate theory with empirical research. A Ph.D. in Quantitative Ecology, Population Biology, Applied Mathematics or an equivalent area is required. Expertise in theory for microbial systems dynamics, using stochastic analytical and/or simulation population models, and empirical expertise in such systems, is highly desirable. Candidates should demonstrate a track record of publication; have strong organizational, written, and oral communication skills; and be able to work both independently and as part of a collaborative team.

      Interested applicants should apply online at https://psu.jobs/job/61825 with an application, a CV, a 1-2 page statement of research interests that explicitly describes professional qualifications for this position, and contact information for three referees. This is a fixed term position funded for one year from date of hire with possibility of refunding. Review of applications will immediately and continue until a suitable candidate is found.

  • Postdoc: Biological Modelling, Grenoble, France
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      A post-doctoral position for one year is available and starts in October 2016 (deadline for applications is before the end of August 2016) in the DyCTiM team of the TIMC-IMAG laboratory, UGA - CNRS (UMR5525) in Grenoble, France.

      The postdoctoral fellow will be involved in an interdisciplinary research that associates computer scientists and applied mathematicians of TIMC-IMAG, and biologists of IAB and TIMC-IMAG.

      *Project*. The project concerns the mechanisms of cytoskeleton reorganizations and crosstalks that drive blood platelet activation. Its precise regulation ensures hemostasis and prevents thrombosis. The flat shaped disc formed by quiescent platelets is maintained by the marginal band (MB), a peripheral ring of microtubules. We have shown recently that the initial shape change during platelet activation is due to cytoskeleton (microtubules and actin) and motor-driven MB extension inducing MB's coiling and consequently its change from a disc to a spherical shape. The postdoctoral fellow will develop a biomechanical multi-scale and individual- based model of microtubules, actin filaments and motors to understand the manner the MB forms and reorganizes as the levels of platelet activation change (due to microtubule acetylation, molecular motor expression levels...).

      *Qualification*. This is an interdisciplinary project in the field of complex systems in biology. The fellow will work closely with biologists, microscopists and computer scientists.

      Only highly motivated candidates with strong skills in computer programming (mainly in C++) and a good background in biological (or physical) modelling techniques will be considered. The candidate should have proven creativity and scientific activity by publications in peer-reviewed journals. Good written and oral communication skills are required. A first experience as a post-doctoral researcher is qualifying.

      Applicants may send a detailed CV (including a publication list and oral communications, detailed skills, contact information), a cover letter, and two reference letters to Nicolas GLADE (nicolas.glade@imag.fr).

  • Postdoc: Computational Biology, Ryerson University, Canada
    • SMB Digest Vol 16, Issue 17 - April 27, 2016

      A postdoctoral position is available in Computational Biology in the Department of Mathematics, Ryerson University (http://www.math.ryerson.ca). The research will be led jointly by Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an opportunity to engage in research in Applied Mathematics, with a limited amount of teaching. The salary is competitive, with funding provided for one year.

      We are seeking qualified and motivated applicants in Applied Mathematics, to work on interdisciplinary projects aimed at developing stochastic modelling and simulation tools for studying biological systems. The ideal candidate would have a strong background in Applied Mathematics (Numerical Analysis and Probability) and/or Computer Science. Strong programming skills in Matlab are mandatory. In addition, experience with dynamical systems (ODEs and PDEs) is expected. Knowledge of biological/chemical reaction modeling and stochastic simulation (temporal and spatio-temporal) is considered an asset.

      The fellowship is open to candidates of any nationality and selection will be based upon the candidate's research potential and teaching ability. Ideally the job will begin on September 1, 2016, however there is some flexibility in the starting date.

      The screening process will start on May 19, 2016, and continue until the position is filled. Please note the position is advertised pending budgetary approval. Applicants should submit a curriculum vitae and three letters of recommendation. At least one of these letters should report on the candidate's teaching abilities. Application material and reference letters should be sent directly by e-mail to compbio@ryerson.ca

      We appreciate all replies to this advertisement, but only applicants under consideration will be contacted. Ryerson University has an Employment Equity Program and encourages applications from all qualified candidates, including aboriginal peoples, persons with disabilities, members of visible minorities, and women.

Faculty and other positions

(Click on job title for additional information.)
  • Research Fellow: Uncertainty Quan. for Healthcare, U Exeter, UK
    • SMB Digest Vol 16, Issue 33 - August 16, 2016

      Research Fellow in Uncertainty Quantification for Healthcare

      We are seeking a Research Fellow to join the recently funded EPSRC Centre for Predictive Modelling in Healthcare, a £2M award which brings together outstanding scientists from our Systems Biomedicine, Dynamics Systems and Statistical Sciences research groups. With an additional £3M in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University, and the successful candidate will join a research team currently consisting of 14 PDRAs and 10 PhD students, where they will be collocated with researchers from the Wellcome Trust ISSF funded Centre for Biomedical Modelling and Analysis, housed in our state of the art Research Innovation Learning and Development (RILD) building.

      The successful candidate will work on a project entitled "Data-Model Fusion and Uncertainty Quantification". They will be mentored by the Centre Director Professor John Terry and will work on a day-to-day basis with Professor Peter Challenor and Dr Marc Goodfellow. The role is available from 01 November 2016, or a mutually agreeable date very soon thereafter, for a period of 36 months. Individuals who successfully secure fellowship funding during their appointment will be considered for an open ended academic appointment. The primary focus of the project will be on techniques to develop Bayesian emulators for uncertainty quantification, including efficient experimental design and techniques to estimate model structure and parameters from observations. These methods will be developed, in collaboration with the candidate, within the Centre with a view to novel healthcare applications, for example in cardiac arrhythmias, neurological disorders or endocrine malfunction. The successful candidate will have a strong background in all or most of: Gaussian processes, uncertainty quantification, machine learning, methods for model parameter inference from observations and constructing mathematical models of biological or clinical data, and have a demonstrable interest in interdisciplinary collaboration. Applicants should hold, or be about to obtain, a PhD in mathematics, physics or a related discipline.

      For full details visit: http://www.jobs.ac.uk/job/AOF433/research-fellow-in-uncertainty-quantification-for-healthcare

      The closing date for applications is 26 August 2016. It is anticipated that interviews will take place in the week commencing 19 September 2016.

  • Research Director, EPSRC
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      The EPSRC project Synthetic Portabolomics is a looking for a Senior Research Associate to act as Research Director, supporting the PI in the delivery of the project objectives including (but not limited to) coordinate and carry out its management activities including all reporting activities, e.g. to EPSRC, stakeholders, REF related, UKRC related (e.g. research fish), etc.

      The Research Director will also be lead in the execution and further development of Pathways to Impact plan and carry out translational research activities. In addition, the post holder will work closely with Prof. Krasnogor in (a) the exploration, dissemination and exploitation of IP generated by the project and, more generally, the Interdisciplinary Computing and Complex Systems (ICOS) research group and (b) the conception, design and implementation of funding opportunities for ICOS from UKRC, Innovate UK, H2020, etc.

      This post is fixed term for two years.

      For informal enquiries please contact Professor Natalio Krasnogor (Natalio.Krasnogor@newcastle.ac.uk).

      For further information and to apply: http://www.jobs.ac.uk/job/AUH576/d41005r2-senior-research-associate-research-director-synthetic-portabolomics/

      The ICOS group http://ico2s.org

  • Metabolic Network Modeling Research Scientist, HJF
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Metabolic Network Modeling Research Scientist (211875)

      The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF) is seeking a Metabolic Network Modeling Research Scientist to provide support to the U.S. Army Medical Research and Materiel Command's Biotechnology High Performance Computing Software Applications Institute (BHSAI) [www.BHSAI.org]. HJF provides scientific, technical, and programmatic support services to the BHSAI. Working in an interdisciplinary environment with focus on the development and application of computational solutions to biomedical problems, including toxicology, drug resistance, and infectious disease.

      Responsibilities:

      Use computational modeling to integrate transcriptomic and metabolomics data with metabolic networks to understand malaria host/pathogen responses to different physiological stressors, including drug treatment.

      1. Perform both basic and applied research in close collaboration with experimental laboratories.
      2. Simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories.
      3. Collaborates with other scientists and computational staff on research projects and development of new approaches to existing research problems.
      4. Prepares research proposals, progress reports, and manuscripts for submission to scientific journals.
      5. Presents research methods and findings at appropriate scientific conferences.
      6. Completes other projects as needed.


      Required Knowledge, Skills, and Abilities: Experience in high-performance computing, biostatistics or population genomics, mathematical modeling and biological network analysis is a plus. Expertise in at least one of C, C++, Java, Python or Pen is a must. PLEASE ONLY APPLY IF YOU HAVE PROVEN COMPUTATIONAL BIOLOGY EXPERIENCE. The candidate is expected to simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories

      Minimum Education/Training Requirements: Ph.D. in a related discipline, post-graduate experience, and a strong publication record.

      Minimum Experience: 4 - 6 years

      HJF is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

      TO APPLY Please copy and paste the following URL into your web browser: http://careers.hjf.org/psp/eapp/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=211875&SiteId=1&PostingSeq=1

  • Principal Scientist, Sanofi
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Posting: Open systems pharmacology modeling/mathematical biology - Principal scientist position at Sanofi. Please contact karim.azer@sanofi.com or, to see a description and apply online, search for Position 75034404-0001 at http://www.sanofi.us/l/us/en/layout.jsp?scat=18DAEAAB-BD35-492F-8777-EE9BFE683320.

  • NIH: Selected Intramural Research and Other Job Openings
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      Tenure-Track/Tenure-Eligible Investigator Laboratory of Malaria Immunology and Vaccinology, NIAID (Review of Applications Begins: August 8)

      The Laboratory of Malaria Immunology and Vaccinology (LMIV), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), invites applications for a tenure-track (preferred) or tenure-eligible investigator in malaria immunology or vaccinology.

      We seek a highly creative individual who will establish an independent, world-class malaria research program that takes full advantage of the special opportunities afforded by the stable, long-term funding offered to the intramural NIH community. Applicants should have a Ph.D., M.D., or equivalent degree and an outstanding record of postdoctoral or junior faculty accomplishment. Applicants should be interested in developing and applying novel approaches to the study of malaria immunology or malaria vaccines, which could include a significant clinical or translational effort in addition to bench research. As examples, the candidate might pursue structure-function-immunogenicity of malaria proteins and immunogens, innate immunity and adjuvants, humoral immunity, or immunobiology of durable vaccine-induced protective immune responses.

      The successful candidate will have access to the NIH Clinical Center, a premier research hospital on the main NIH campus where LMIV conducts vaccine trials and experimental malaria infections in human volunteers. She or he will have ample opportunity to participate in the activities of the International Centers of Excellence in Research at malaria-endemic sites in Africa. Other trans-NIH initiatives involving technology development, translational investigation, access to nonhuman primate facilities, and multidisciplinary science offer additional research infrastructure for intramural scientists.

      The incumbent will be assigned independent resources to include laboratory support personnel, equipment, space, and an allocated annual budget for services, supplies, and salaries sufficient to foster success. In addition to an outstanding international postdoctoral community, a superior pool of graduate and undergraduate students is available to the successful applicant. Additional information is available on the LMIV website, http://www.niaid.nih.gov/LabsAndResources/labs/aboutlabs/lmiv/Pages/default.aspx. Salary is commensurate with experience and accomplishments. A full civil service package of benefits (including retirement; health, life, and long-term care insurance; Thrift Savings Plan) is available. Women and minorities are encouraged to apply. U.S. citizenship is not required.

      To apply, email your curriculum vitae, bibliography, a list of at least five references, and a detailed statement of how your expertise can contribute to the success of the malaria research program (no more than two pages) in PDF format to Ms. Laurie Lewallen at NIAIDDIRSearch@niaid.nih.gov. Initial review of applications will be on August 8, 2016, but applications will be accepted until the position is filled. For further information about this position, contact Dr. Patrick Duffy, Chief, LMIV, at 301-761-5089 or patrick.duffy@nih.gov. Visit Careers at NIAID, http://www.niaid.nih.gov/about/careers/Pages/default.aspx?utm_source=DDIR&utm_medium=website&utm_campaign=NC_DIR-LMIV_TT-T_6-6-16, for more information about NIAID and additional career opportunities. HHS, NIH, and NIAID are equal opportunity employers. NIH is dedicated to building a diverse community in its training and employment programs.

      Stadtman Tenure-Track Investigators NIH-wide (deadline: September 30)

      The National Institutes of Health, the U.S. government's premier biomedical and behavioral research enterprise and a component of the Department of Health and Human Services, is pleased to announce its eighth annual call for "NIH Earl Stadtman Investigators," a broad recruitment of tenure-track investigators (assistant professor equivalent) for the NIH intramural research program.

      Come join the team whose hallmarks are stable funding, intellectual freedom, shared resources, and access to a wide range of scientific expertise. A fantastic array of scientists already has been hired through the "Stadtman" recruitment in the last seven years.

      A variety of basic and translational/clinical positions are available, with areas of active recruitment including (but not limited to): Behavioral Sciences, Biochemistry, Biomedical Engineering, Biophysics, Biostatistics, Cancer Biology, Cell Biology, Cell Metabolism, Chemical Biology, Chromosome Biology, Computational Biology/Bioinformatics (including natural language processing and text mining), Developmental Biology, Epidemiology, Genetics, Genomics, Health Disparities, Hearing & Balance, Immunology, Infectious Diseases, Microbiology, Molecular Pharmacology, Neurodevelopment, Neurosciences, Physiology, Sensory Biology, Social Sciences, Structural Biology, Systems Biology, Toxicology, Translational and Clinical Research, and Virology.

      Who we are: Among our approximately 1,100 principal investigators and 4,000 trainees in the NIH intramural research program are world-renowned experts in basic, translational, population-based, and clinical research. Similar to academia, we offer our scientists the opportunity to mentor outstanding trainees at all levels (e.g., graduate students and postdoctoral fellows) in a research setting.

      Whom we seek: We seek a diverse cadre of creative thinkers eager to take on innovative, high-impact research.

      Qualifications/eligibility: Applicants must have an M.D., Ph.D., D.D.S./D.M.D., D.V.M., D.O., R.N./Ph.D., or equivalent doctoral degree and have an outstanding record of research accomplishments as evidenced by high quality publications in peer-reviewed journals. Applicants should be non-tenured scientists. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment-authorization visa.

      How to apply: Applicants must submit four items (the first three items must be in a PDF format): (1) a CV, which should include a list of publications, and mentoring and leadership activities; (2) a three-page proposal titled Research Goals, i.e., the research you hope to perform at the NIH; (3) a one-page statement titled Long-term Research Vision and Impact, i.e., what you hope to achieve for yourself, your field, and society; and (4) contact information for three professional references. Submit these through our online application system at http://tenuretrack.nih.gov/apply between August 1 and September 30, 2016 (11:59 p.m. EDT). You will be asked to designate up to two scientific areas of expertise to aid in assigning your application to the appropriate review committee. Requests for letters of recommendation will be sent to your references when you submit your application. Reference letters will be accepted via upload to the website until October 7, 2016 (11:59 p.m. EDT). Reference letters must also be submitted in a PDF format. We cannot accept paper applications.

      What to expect: Search committees, composed of experts in various fields, will review and evaluate applicants based on criteria which include publication record, mentoring experience, scientific vision, potential scientific impact of current and proposed research, awards, and references. Select applicants will be invited to the NIH for interviews and will be considered candidates. These candidates will also present seminars open to the public. Some applicants not selected as Earl Stadtman Investigator candidates may be considered for other open NIH research positions. Please find answers to frequently asked questions at http://tenuretrack.nih.gov/apply/faq/stadtman.html.

      More information about our program is at http://irp.nih.gov. The inspiring story of Earl and Thressa Stadtman's research at the NIH is at http://history.nih.gov/exhibits/stadtman. Specific questions regarding this recruitment effort may be directed to Dr. Roland Owens, Assistant Director, NIH Office of Intramural Research, atowensrol@mail.nih.gov. DHHS and NIH are equal opportunity employers.

      The NIH is dedicated to building an inclusive and diverse community in its training and employment programs.

      Staff Scientist, Biostatistician Biostatistics and Computational Biology Branch, NIEHS (Review of Applications Begins: September 30)

      The National Institute of Environmental Health Sciences (NIEHS), part of the National Institutes of Health (NIH), is seeking an experienced biostatistician at the rank of Staff Scientist in the Biostatistics and Computational Biology Branch (BCBB, http://www.niehs.nih.gov/research/atniehs/labs/bb/index.cfm) of the Division of Intramural Research (DIR, http://www.niehs.nih.gov/research/atniehs/dir/index.cfm). The incumbent will collaborate extensively with researchers in the DIR and the Division of the National Toxicology Program (DNTP http://www.niehs.nih.gov/research/atniehs/dntp/index.cfm). As the principal statistician for the National Toxicology Program (NTP http://ntp.niehs.nih.gov/), he/she will provide statistical leadership and ensure the statistical integrity of its research program. In addition, the position involves management and oversight of statistical support service contracts. Development of new statistical methods is encouraged, but will not be a major component of the job.

      The scientific environment at NIEHS provides exciting opportunities for a collaborating statistician. The DIR conducts a broad range of basic, clinical and population-based biomedical research to advance the science on environment and human health. The NTP serves a vital national interest by improving our knowledge about potential hazardous chemicals in our environment. It uses a broad range of toxicological approaches including large-scale rodent studies and cell-based assays to evaluate a variety of adverse outcomes. Increasingly, research in both the DIR and the NTP incorporates high-dimensional data such as high-throughput screening, gene-expression, microbiome, DNA methylation, and genome sequencing.

      The Research Triangle Park (RTP, http://www.rtp.org/) is a lively and world-renowned research center. Major nearby universities and institutes include the University of North Carolina, North Carolina State University, Duke University, the Research Triangle Institute, and the Statistical and Applied Mathematical Sciences Institute. The RTP region, known for its diversity and cultural amenities, is widely regarded as an outstanding place to live and work.

      The successful candidate will have both strong communication skills (written and oral) and proven experience working productively with multidisciplinary teams of biologists, toxicologists, epidemiologists, and/or clinical scientists. Applicants should have a Ph.D. in statistics, biostatistics or a closely related field. Applications from women and underrepresented minorities are strongly encouraged. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment-authorization visa. For additional information, contact Dr. Shyamal Peddada, Acting Chief, Biostatistics and Computational Biology Branch, at 919-541-1122 (peddada@niehs.nih.gov).

      Interested persons should email a combined single PDF of their curriculum vitae and a two-page statement of research and collaboration experience. Applicants must also arrange to have three letters of reference in PDF format sent directly to dir-appls@niehs.nih.gov. As there are other recruitments currently running, please instruct your referees to include your name and BCBB-SS in the subject line of their email. Paper applications will not be accepted. Review of applications will begin on September 30, 2016, but applications will be accepted until the vacancy is filled. DHHS and NIH are equal opportunity employers.

      Tenure-Track/Tenure Eligible Position Occupational and Environmental Epidemiology Branch, NCI-DCEG (deadline: September 30)

      A tenure-track/tenure eligible position is available in the Occupational and Environmental Epidemiology Branch (OEEB - Chief, Dr. Debra Silverman), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS) for a scientific investigator with expertise and experience in exposure assessment of environmental contaminants for cancer epidemiology studies. Candidates should have a strong background and at least 5 years of experience in exposure assessment, including using Geographic Information System (GIS)-based models and environmental monitoring data to estimate historical exposures to air and water pollutants. Candidates should have knowledge of and demonstrated capacity to develop and apply state-of-the-art exposure assessment and statistical methods in case-control and cohort studies.

      The candidate should have a doctorate in environmental health, epidemiology, or a comparable doctoral degree, experience in carrying out environmental exposure assessments and environmental epidemiology studies, and a fundamental commitment to the study of environmental exposures. A demonstrated ability to carry out effective collaborations with investigators from different disciplines is critical. Also essential is the ability to communicate effectively in speech and in writing, as demonstrated in presentations and publications. Salary is commensurate with experience. The successful candidate will be expected to develop an independent research program focused on the assessment of environmental exposures, and identifying and clarifying how these exposures may cause cancer. Interested individuals should send a cover letter, curriculum vitae, brief summary of research interests and experience, up to five publications, and three letters of reference to: Ms. Linda Littlejohn. Division of Cancer Epidemiology and Genetics; National Cancer Institute; 9609 Medical Center Drive, Suite 7E328, MSC 9775; Bethesda, MD 20892-9775; or e-mail NCIDCEGOMR@mail.nih.gov. The closing date for applications is September 30, 2016. DHHS, NIH, and NCI are equal opportunity employers.

  • Tenure-Tracks: Oregon State University
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      TWO FACULTY POSITIONS IN SYSTEMS BIOLOGY, GENOMICS, AND INFORMATICS AT OREGON STATE UNIVERSITY

      Mathematics. Systems Biology. Physiological modeling. Drug discovery. Ecoinformatics.

      Oregon State University is searching for two faculty with enthusiasm for collaborative research and teaching at the interface between the life sciences - biological, biomedical, pharmaceutical, or environmental - and the quantitative or physical sciences. Appointees will be expected to develop independent and collaborative grant-funded research programs, at any level of scale from the molecular to the ecological. The research, teaching, and extension programs of the appointees are expected to integrate student success, diversity, and inclusion as core values. This search is part of a large cohort of new faculty hires at OSU focused on interdisciplinary computational research, and on advancement of diversity, inclusion and student success.

      COMPLEX SYSTEMS IN THE LIFE AND ENVIRONMENTAL SCIENCES

      An assistant professor (9 month, tenure track) position is available in any domain where the life or environmental sciences intersect with the quantitative or physical sciences. Complex systems in the life and environmental sciences span numerous levels of scale from metabolites, macromolecules, cells, tissues, and organisms, to populations, communities and ecosystems. Increasingly, understanding these systems requires interdisciplinary collaborative research at the intersection with quantitative or physical sciences. The appointment will reside jointly in two units, one a life or environmental sciences unit, and the other ideally in a physical or quantitative sciences unit, depending on the appointee's expertise and interest. To review the full position announcement, qualifications and detailed application go to www.oregonstate.edu/jobs/ and select posting number P00447UF. Contact: Brett Tyler (brett.tyler@oregonstate.edu).

      For full consideration, please apply by September 9, 2016.

      COMPUTATIONAL AND SYSTEMS BIOLOGY/PHARMACOLOGY

      The College of Pharmacy, Department of Pharmaceutical Sciences, is seeking applications for an assistant professor position (12 month, tenure track) with expertise in using computational or bioinformatics tools to discover new drug targets or mechanisms of action, or uncover disease or physiological mechanisms. A Ph.D. or terminal degree in a biomedical or pharmaceutical science, computer science or statistics, biochemistry or a related discipline with relevant postdoctoral experience is required. Responsibilities include establishing and maintaining an extramurally funded research program; collaborating on initiatives and needs for expertise in computational and systems level approaches; and teaching and mentoring graduate, professional and undergraduate students. To review the full position announcement, qualifications and detailed application go to www.oregonstate.edu/jobs/ and select posting # P00444UF. Contact: Chrissa Kioussi (Chrissa.Kioussi@oregonstate.edu ). For full consideration, please apply by September 23, 2016.

      OSU is an AA/EOE and has a policy of being responsive to dual-career needs.

  • Tenure-Tracks: Italian Institute of Technology
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      The Italian Institute of Technology (IIT) is pleased to announce openings for FOUR tenure-track positions in:

      Synthetic & Systems Biology
      Tissue Engineering
      Multidisciplinary Biosystems
      Robot Locomotion


      These open calls are part of an ambitious plan to recruit more than 100 new tenure-track scientists over the next decade. The new tenure-track scientists will be intellectually and financially independent (i.e., true principal investigators) and will enjoy world-class facilities and start-up and operational funding, as well as internationally competitive salaries and benefits.

      For details of the job searches, please visit https://tenure.iit.it/about

      Deadline for applications in 15 October 2016.

  • Faculty Positions: Mathematics & Statistics, Texas Tech U
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Faculty Positions, Mathematics & Statistics, Texas Tech University, Fall 2017

      The Department of Mathematics and Statistics at Texas Tech University invites applications for six tenure-track positions beginning Fall 2017. While preference will be given to junior faculty candidates for the rank of assistant professor, candidates with very strong records of research productivity who will bring externally sponsored research to Texas Tech will be considered for associate or full professor ranks. The department seeks candidates who will be engaged in nationally visible scholarship, establish externally-funded research programs, interact with the existing research groups, participate in interdisciplinary collaborations and service, involve graduate students in their research, and show excellence in teaching at the graduate and undergraduate levels. A Ph.D. degree in mathematics, applied mathematics, statistics, or a related area, at the time of appointment, is required. A demonstrated record of peer reviewed publication is expected. Senior applicants are expected to provide a strong record of scholarly research, teaching effectiveness, and professional service.

      Candidates should apply at http://www.texastech.edu/careers/ using the appropriate requisition number, as follows: 1). Mathematical sciences - requisition #7946BR; 2). Computational mathematics - requisition #7947BR; 3). Biomathematics - requisition #7948BR; 4). Statistics - requisition #7949BR.

      The research fields of traditional interest in the department corresponding to these four areas include, respectively: i). algebraic and differential geometry and topology, complex analysis, number theory; ii). computational applications of partial differential equations, optimization, numerical linear algebra, numerical analysis, and scientific computing/software; iii). population dynamics, infectious diseases, ecotoxicology, immunology, oncology, biomechanics, neuroscience; iv). biostatistics, statistical genetics, stochastic processes, functional data analysis, Bayesian statistics, nonparametric statistics, and image analysis.

      Applicants are expected to submit a letter of application along with a completed AMS standard cover sheet, current CV, research and teaching statements. In addition to the mandated online application, applicants must have three reference letters e-mailed to misty.rangel@ttu.edu. Review of applications will begin in Fall 2016. Applications will be accepted until the position is filled, with those received prior to January 15, 2017, assured full consideration.

      As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and service, to the diversity and excellence of the academic community at Texas Tech University. The university welcomes applications from minorities, women, veterans, persons with disabilities, and dual-career couples.

  • Research Fellow in Mathematical Modelling (London School of Hygiene and Tropical Medicine)
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      We are seeking an enthusiastic Research Fellow to join the Health Protection Research Unit (HPRU) in Immunisation. The successful candidate will work with the mathematical modelling and economic evaluation team to understand the impact of immunisation on vaccine-preventable disease. He/she will design and apply mathematical models to address policy decisions around vaccination in England.

      The successful applicant will have a PhD in mathematical modelling or equivalent research experience, a proven ability to use a coding language to solve modelling problems (e.g. R, Matlab, C++, Python etc.), the ability to publish in leading journals as evidenced by existing or potential publications and evidence of ability to work independently and meet tight deadline.

      It is desirable that the post-holder has prior experience in Bayesian model fitting techniques, experience in mathematical modelling of infectious diseases, experience in modelling using ordinary differential equations. Prior experience in health economic evaluation and knowledge of vaccine-preventable diseases is also desirable.

      The appointment is full time and is available immediately until 31 March 2017 initially, with the possibility of extension. The appointment will be made on the Academic Pathway Grade 6 scale £37,477-£42,560 per annum inclusive.

      Applications should be made on-line via our website at http://jobs.lshtm.ac.uk (Ref: EPH-IDE-24)

      Applications should also include a CV and the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Interested applicants are invited to contact Dr Katherine Atkins (Katherine.Atkins@lshtm.ac.uk) for further information. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk.

  • Research Assistant: Mapping Cortex Evolution, University of Oxford
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Applications are invited for a 24-month fixed-term post of Research Assistant in St John's College Research Centre at St John's College, University of Oxford. The post involves working on a research project entitled 'Mapping cortex evolution through mathematical modelling' funded by the St John?s College Research Centre and led by Professor Zoltán Molnár, Professor Philip Maini, and Dr Thomas Woolley. The appointee will take up the post on November 1st or as soon as possible thereafter. The post is full-time and is for 24 months. The appointment will be on the University's Grade 7 for Academic and Academic-related staff, currently starting at £30,738 per annum.

      Our project proposes to develop and understand a mathematical model for the differentiation of neurons from earlier pluripotent progenitor cell populations. This framework will allow us to map all possible evolutionary pathways of the cortex enabling us to quantitatively and qualitatively highlight multiple possible divergent evolutionary trajectories. Further, by comparing these theories with data we will construct a novel categorisation of different species, and understand the high diversity of cortex development, thus generating an impact in the field of neurobiology. Finally, through applying our framework to pathological cases, we will predict mechanistic links between neuron production failure and resulting phenotypes such as microcephaly, polymicrogyria syndromes and lissencephaly syndromes.

      If there are any questions, please send them to woolley@maths.ox.ac.uk

  • Lecturer/Senior Lecturer: Statistical Genomics, U Melbourne
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      The Neuroscience Program at Bates College, a private liberal arts college in Maine, invites applications for a tenure track assistant professorship in theoretical neuroscience to begin August 1, 2017. A Ph.D. is required, with post-doctoral experience preferred. We welcome applications from any sub-discipline in which neural phenomena are studied using quantitative and/or computational formalisms. We are especially interested in candidates whose work has potential clinical/medical applications but does not require use of a vertebrate animal colony. Candidates are expected to teach Introduction to Neuroscience as well as additional courses that could include quantitative methodologies in neuroscience, neural modeling, bio/neuroinformatics, neural prosthetics, or computing in the health sciences. Bates values innovative, inclusive pedagogy and active scholarship and seeks applicants who can successfully integrate undergraduates in their research. The College and the Neuroscience Program are committed to enhancing the diversity of our campus community and curriculum, and the most competitive applicants will have a record of engaging people from backgrounds underrepresented in STEM fields.

      Employment is contingent upon successful completion of a background check. Bates is an Equal Opportunity/Affirmative Action employer. Because the College recognizes that employment decisions often involve two careers, Bates welcomes applications from those interested in sharing a single faculty position. For more information about the College and the Program, please visit the Bates website: www.bates.edu.

      APPLICATION INSTRUCTIONS
      Consideration of candidates will begin September 15, 2016 and continue until the position is filled. Your application should include your cover letter, CV, unofficial graduate transcript, three letters of recommendation, research statement, teaching statement, and diversity statement. For this last item, please describe how your teaching, scholarship, mentorship, and/or service would support the college's historical and ongoing commitment to diversity and inclusion. Finalists will be invited to send additional materials suchas reprints, sample syllabi, and teaching evaluations. Please direct any questions to Nancy Koven, Ph.D., at nkoven@bates.edu. Applicants should submit all requested materials through Interfolio (referencing job announcement R2154): https://apply.interfolio.com/35910

  • Tenure-Track: Theoretical Neurosciences, Bates College, US
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      LECTURER/ SENIOR LECTURER IN STATISTICAL GENOMICS
      School of Mathematics and Statistics, Faculty of Science, The University of Melbourne

      Salary: AUD95,434 - AUD113,323 p.a. (Level B) or AUD116,901 - AUD134,792 p.a. (Level C), plus 17% superannuation. Level of appointment is subject to the appointee's research record, qualifications and experience.

      The School of Mathematics and Statistics is seeking to expand its expertise in Statistical Genomics. In particular, the successful applicant will contribute to the School's research related to Statistical Genomics, which is under the broad leadership of Professor David Balding.

      Close date: 17 Aug 2016
      For position information and to apply online go to http://jobs.unimelb.edu.au/caw/en/job/888557/lecturer-senior-lecturer-in-statistical-genomics

  • Tenured/Tenure-track: Math Biology, Virginia Commonwealth U
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      Position: One senior faculty position (9-month) as Professor or Associate Professor of Mathematics in the Department of Mathematics and Applied Mathematics beginning August 16, 2017. The Department and University Web pages may be found at http://www.math.vcu.edu and http://www.vcu.edu. The Ph.D. program Web page may be found at http://www.sysm.vcu.edu.

      Responsibilities of Position: Maintain a vigorous research program and a record of excellent teaching at both the undergraduate and graduate levels. Assume a leadership role in the Ph.D. program in Systems Modeling and Analysis.

      Qualifications: A Ph.D. in Mathematics or Applied Mathematics, or related field, is required at the time of the appointment. The applicant should be internationally recognized in areas related to Mathematical Biology, and must already be tenured at their current institution. Preference will be given to candidates with a proven track record of external funding and Ph.D. student advisement. Applicants must have a record of successful teaching, as well as experience with working in and fostering a diverse faculty, staff, and student environment, or the commitment to do so.

      The Department: The mission of the Department of Mathematics and Applied Mathematics is to offer a strong undergraduate and graduate education, with an increasing focus on the development of cross-disciplinary efforts that will prepare our students for real-world applications and stimulating employment and career opportunities. Key current objectives of the department include the continued development of our Ph.D. program, which emphasizes applications of mathematics to the medical and biological sciences and research in both applied and theoretical discrete mathematics, the improvement of student outcomes in our lower level courses, and the continued strengthening of our department's track in secondary education preparation. We are looking for ambitious faculty members to help grow and strengthen the department by expanding teaching, research, and grant activity. We are excited about the opportunities to grow in these areas and are particularly interested in mathematicians with similar interests.

      How to Apply for the Position: To apply, candidates must submit electronically through https://www.vcujobs.com/postings/52605 the following: a cover letter that clearly delineates how they meet the qualifications outlined above, a current curriculum vitae, and contact information for four references. In addition, candidates must submit electronically through https://www.mathjobs.org the following: a cover letter, an AMS Standard Cover Sheet, a current curriculum vitae, and detailed teaching and research statements. Applicants must also have four letters of recommendation, of which one must address the applicant's effectiveness as a teacher, submitted electronically through https://www.mathjobs.org.

      Applicants must be eligible to work in the U.S.A. Applications will be considered until the position is filled; however, applications received by September 15, 2016, will be given priority.

      "Virginia Commonwealth University is an equal opportunity, Affirmative Action University providing access to education and employment without regard to age, race, color, national origin, gender, religion, sexual orientation, veteran's status, political affiliation or disability."

  • Lecturer/Senior Lecturer: Systems Genomics, U Melbourne
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      LECTURER/SENIOR LECTURER IN SYSTEMS GENOMICS
      School of BioSciences, Faculty of Science, The University of Melbourne

      Salary: AUD95,434 - AUD113,323 p.a. (Level B) or AUD116,901 - AUD134,792 p.a. (Level C), plus 17% superannuation. Level of appointment is subject to qualifications and experience.

      The School of BioSciences is seeking to recruit an excellent researcher, with a commitment to teaching and other academic duties, in the area of systems genomics, defined broadly to include a range of computation/statistics-based research on any aspects of the processes leading from genotype to phenotype. The new post is associated with the appointment of Professor D Balding, who is Professor of Statistical Genetics jointly in the Schools of BioSciences and of Mathematics & Statistics, and Director of the University's Centre for Systems Genomics. The successful applicant will be expected to join the Centre, which has an interdisciplinary focus on the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype processes in humans and other organisms, including microbes and the host-microbe interaction, as well as the roles of other factors in the cellular, tissue and external environments.

      The successful applicant will be expected to undertake research and student supervision in cutting-edge methods using large-scale datasets to help understand the functions of genomes, especially at a systems level. The successful applicant will have the opportunity to contribute to and benefit from the development of the Centre, have use of research data generated by collaborators, and have access to the Centre's computing resources and integrative profiling lab. Further wet-lab resources are available if required. The appointee will be expected to develop and deliver genomics and/or computational biology subjects for life sciences students, and possibly (depending on experience and qualifications) also to students in other disciplines.

      Close date: 10 Aug 2016

      For position information and to apply online go to http://about.unimelb.edu.au/careers, click on the relevant option (Current Staff or Prospective Staff), and search under the job title or job number 0039325.

  • Tenure-Track/Tenure-Eligible Investigator Laboratory of Malaria Immunology and Vaccinology, NIAID (deadline: August 8)
    • SMB Digest Vol 16, Issue 27 - July 5, 2016

      The Laboratory of Malaria Immunology and Vaccinology (LMIV), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), invites applications for a tenure-track (preferred) or tenure-eligible investigator in malaria immunology or vaccinology.

      We seek a highly creative individual who will establish an independent, world-class malaria research program that takes full advantage of the special opportunities afforded by the stable, long-term funding offered to the intramural NIH community. Applicants should have a Ph.D., M.D., or equivalent degree and an outstanding record of postdoctoral or junior faculty accomplishment. Applicants should be interested in developing and applying novel approaches to the study of malaria immunology or malaria vaccines, which could include a significant clinical or translational effort in addition to bench research. As examples, the candidate might pursue structure-function-immunogenicity of malaria proteins and immunogens, innate immunity and adjuvants, humoral immunity, or immunobiology of durable vaccine-induced protective immune responses.

      The successful candidate will have access to the NIH Clinical Center, a premier research hospital on the main NIH campus where LMIV conducts vaccine trials and experimental malaria infections in human volunteers. She or he will have ample opportunity to participate in the activities of the International Centers of Excellence in Research at malaria-endemic sites in Africa. Other trans-NIH initiatives involving technology development, translational investigation, access to nonhuman primate facilities, and multidisciplinary science offer additional research infrastructure for intramural scientists.

      The incumbent will be assigned independent resources to include laboratory support personnel, equipment, space, and an allocated annual budget for services, supplies, and salaries sufficient to foster success. In addition to an outstanding international postdoctoral community, a superior pool of graduate and undergraduate students is available to the successful applicant. Additional information is available on the LMIV website http://www.niaid.nih.gov/LabsAndResources/labs/aboutlabs/lmiv/Pages/default.aspx. Salary is commensurate with experience and accomplishments. A full civil service package of benefits (including retirement; health, life, and long-term care insurance; Thrift Savings Plan) is available. Women and minorities are encouraged to apply. U.S. citizenship is not required.

      To apply, email your curriculum vitae, bibliography, a list of at least five references, and a detailed statement of how your expertise can contribute to the success of the malaria research program (no more than two pages) in PDF format to Ms. Laurie Lewallen at NIAIDDIRSearch@niaid.nih.gov. Initial review of applications will be on August 8, 2016, but applications will be accepted until the position is filled. For further information about this position, contact Dr. Patrick Duffy, Chief, LMIV, at 301-761-5089 or patrick.duffy@nih.gov. Visit Careers at NIAID http://www.niaid.nih.gov/about/careers/Pages/default.aspx?utm_source=DDIR&utm_medium=website&utm_campaign=NC_DIR-LMIV_TT-T_6-6-16 for more information about NIAID and additional career opportunities. HHS, NIH, and NIAID are equal opportunity employers. NIH is dedicated to building a diverse community in its training and employment programs.

  • Associate Director..., Dana Farber Cancer Institute, USA
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Position Title: Associate Director for Scientific Operations, Center for Cancer Evolution - Sr Scientist
      Company Name: Dana Farber Cancer Institute
      Location: Boston, Massachusetts, United States, 02101

      For details and to apply, see

      http://www.click2apply.net/6mcwmkb4nh

  • Selected NIH Intramural Research and other job openings - June 2016
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      Staff Scientist
      Section on Development and Affective Neuroscience, NIMH
      (Review of applications begins: July 1)

      The Section on Development and Affective Neuroscience (SDAN) in the Intramural Research Program (IRP), National Institute on Mental Health (NIMH), seeks a Staff Scientist.

      Research in SDAN is designed to achieve an integrated understanding of brain system perturbations that occur in pediatric emotional disorders, particularly anxiety disorders. SDAN then attempts to use this understanding to identify children at particularly high risk, to improve current treatments, and to develop new ones. Current projects in SDAN examine the predictive utility of functional magnetic imaging (fMRI) profiles for diverse clinical outcomes, applied in research on children and adolescents at temperamental risk for anxiety or receiving treatment for anxiety.

      The NIMH IRP brings together a highly interactive and dynamic group of collaboratively focused scientists. These individuals are at the forefront of research on mental disorders. SDAN is housed on the main NIH campus in Bethesda, Maryland.

      The SDAN Staff Scientist serves as a laboratory leader who contributes to mentoring of postdoctoral fellows and other laboratory staff and trainees. The position requires specific expertise in the analysis of fMRI data, as reflected in training and publication record. The successful candidate should have a doctoral degree, postdoctoral research experience, and an outstanding publication record. Requisite expertise includes basic analysis of fMRI data using the general linear model as well as expertise in more advanced approaches to fMRI data. The main job of the Staff Scientist will be to be the leader of data analytic approaches in SDAN and to apply advanced analytic approaches in particular, with a focus on computational neuroscience, multivoxal pattern analysis (MVPA), and machine learning. Salary is commensurate with experience.

      Applicants should submit their curriculum vitae with bibliography, statement of interest, and names and contact information for three references to Daniel Pine at daniel.pine@nih.gov. Applications will be reviewed starting July 1, 2016, and accepted until the position is filled. HHS, NIH, and NIMH are equal opportunity employers.

      The NIH Intramural Research Program
      http://irp.nih.gov/
      http://irp.nih.gov/careers/tenured-and-tenure-track-scientific-careers

      Link to Fellowships and Positions of Interest to fellows
      https://www.training.nih.gov/
      https://www.training.nih.gov/career_services/jobs

      Link to NIH Jobs
      http://www.jobs.nih.gov/

  • Quantitative Systems Pharmacologist, Merck, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The Quantitative Pharmacology and Pharmacometrics (QP2) group at Merck is now hiring at 3 levels: Senior Scientist, Associate Principal Scientist, and Principal Scientist. Qualified candidates will be hired at the level commensurate with their experience. We sponsor work visas for qualified candidates. Please see below for job description and forward to potential candidates. Thank you for your consideration.

      Location: West Point, PA; Upper Gwynedd, PA; Kenilworth, NJ; Rahway, NJ; Boston, MA.

      Fo further details and to apply online, please visit http://www.merck.com/careers/

      * Senior Scientist, R3 (QUA004740)
      * Associate Principal Scientist, R4 (QUA004739)
      * Principal Scientist, R5 (QUA004336)

  • Quantitative Systems Pharmacologist / Modeler, Pfizer, USA
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Job Title: Quantitative Systems Pharmacologist / Modeler Job ID 1031636

      About Pfizer:
      A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

      Role Description:
      The Quantitative Systems Pharmacology (QSP) Lab in Pfizer?s Cardiovascular and Metabolic Diseases (CVMet) Research Unit is responsible for identifying and evaluating promising therapeutic targets and drug candidates through the application of systems modeling and simulation approaches. We seek a highly motivated candidate with experience in cardiomyocyte/cardiac function to lead the development of mechanistic, mathematical models to enable the in silico testing of novel targets and compounds for the treatment of heart failure (HF). The successful applicant will be responsible for providing QSP support to CVMet programs from target ideation through Phase 2 clinical development.

      Responsibilities:
      * Develop and execute strategy for the application of QSP approaches to identify and evaluate novel pathways, targets and drug candidates for the treatment of HF
      * Work in close collaboration with CVMet biologists and clinicians to advance our HF programs and improve our understanding of disease mechanisms
      * Serve as QSP modeling & simulation expert in multidisciplinary project teams to solve challenging problems in drug discovery and development; contribute to preclinical and clinical study design
      * Develop and/or utilize state-of-the-art mathematical and statistical tools to gain insight into causal relationships between individual components within metabolic pathways and systems
      * Analyze and interpret complex data sets in the context of disease mechanisms and pathways; develop a deep disease knowledgebase

      Qualifications:
      * Ph.D. in Applied Mathematics, Engineering, Physics or a related discipline with strong numerical components focusing on modeling and simulation in the area of cardiomyocyte/cardiac function and 5+ years of experience in applying quantitative systems pharmacology approaches in drug discovery and development.
      * Deep understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and systems
      * Extensive, hands-on experience with modeling and simulation software (e.g., MATLAB, SimBiology, C/C++)
      * Self-directed, independent researcher who excels in a collaborative, multi-disciplinary environment
      * Excellent communication and writing skills
      * Primary authorship on relevant publications in peer-reviewed scientific journals

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