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 Position: Math Bio, Hemholtz Centre for Infection Research
    • SMB Digest Vol 15, Issue 20 - May 20, 2015

      The Helmholtz Centre for Infection Research (HZI) and the Braunschweig Integrated Centre of Systems Biology (BRICS) offers a position as PhD student in Mathematical Biology at the Department of Systems Immunology. This position is offered in the context of a Human Frontier Science Program (HFSP) research project on multiscale mathematical modelling of the dynamics of antibody optimisation in germinal centres and of the immunological synapse.

      You will be embedded in a strong team of modellers headed by Michael Meyer-Hermann with expertise in a wide range of quantitative modelling methods, including spatio-temporal techniques and application to a large range of biological problems. You will benefit from an environment with long-standing experience in germinal centre modelling. You are expected to actively shape the research with new ideas and will be supported by strong team of experimental collaborators including Michael Dustin (Oxford UK), Gabriel Victora (Cambridge MA USA), and Carola Vinuesa (Canberra Australia). This team will generate quantitative data on the immunological synapse, cell dynamics in germinal centres and inter-germinal centre information processing.

      The successful candidate will be educated in one of the following disciplines: Theoretical Biology, Mathematical Biology, Computational Biology, Physics, Mathematics, or other quantitative sciences. Severely disabled applicants will be favoured if equally qualified.

      Please submit your application until June 30, 2015 in our online application tool at https://hzi.opencampus.net/ (after registration choose "Application HZI Jobs" and select job no. 20/2015).

      The HZI is a research centre under the roof of the Helmholtz Society, which is a world leading and powerful institution funding basic and applied research in natural sciences. HZI is narrowly connected to the Technical University of Braunschweig and the University of Hannover and is, thus, embedded in a dense environment of fundamental research in Biology and Immunology. The HZI has proven in the past to provide excellent support for the appointed scientists in order to promote their career.

      For further information please refer to www.systems-immunology.de or contact Prof. Dr. Michael Meyer-Hermann by phone +49(0)531/6181-5400 or by e-mail michael.meyer-hermann@helmholtz-hzi.de.

  • PhD Position: Mechanics of Living Tissue During..., U Grenoble
    • SMB Digest Vol 15, Issue 20 - May 20, 2015

      PhD position: Mechanics of living tissue during embryo development: understanding biological observations with a mechanical model Based in the Laboratoire Interdisciplinaire de Physique, Universite Grenoble Alpes, in collaboration with the Dept. of Physiology, Development and Neuroscience, University of Cambridge. Advisors: Dr Jocelyn Etienne (Grenoble) & Dr Guy Blanchard (Cambridge)

      During the development of living organisms, large-scale movements of tissues occur to sculpt the adult form from a single fertilized egg. The mechanics of these deformations is poorly understood, although their driving forces are known to originate in the subcellular dynamics of filaments of actin proteins, which are contracted by the action of myosin, a motor-molecule. Understanding the self-organizing capacity of networks of actin and myosin and how this is controlled during development to generate appropriate form is one of the great current challenges at the interface between physics and biology. The objective of this PhD project is to work on physical models of the subcellular dynamics of these filaments, and of the resulting tissue-scale dynamics of cells, in order to understand how the molecular processes give rise to the correct morphogenetic movements.

      Full advert and details:
      http://www-liphy.ujf-grenoble.fr/pagesperso/etienne/droso_en/
      Deadline: 24th May 2015

  • PhD Position: Spatio-temporal Dynamic Model of the..., France
    • SMB Digest Vol 15, Issue 20 - May 20, 2015

      PhD topic
      Spatio-temporal dynamic model of the translation repressor 4E-BP regulation network

      In this project, we aim to study three levels of the dynamics of the translation repressor 4E-BP.
      1. We will study the impact of numerous and hierarchical phosphorylation sites found in 4E-BP on the ultra-sensitivity of conformation modifications and association with eIF4E. The proteins that are activated only through the phosphorylation of several sites may have a ultra-sensitive response and lead to a sigmoid-type functional response (Ferrell & Ha, 2014a; Ferrell & Ha, 2014b). First, we want to integrate in the existing model the different conformations that the proteins may have (no folding, partial or full folding), and thus the different reaction rates that they may have, and the different degradation rates. One can think that the model would need to be either compartmented into a finite (small) number of possible conformations or structured through a (continuous) phosphorylation variable (similar to a methylation variable). This question needs to be addressed during the course of the PhD studies.
      Keywords : compartmented vs structured models, conformational structuration
      2. We will also extend the current ordinary differential equations model and take into account the aforementioned delay happening between fertilization and activation of protein synthesis. This will be done through a partial differential equations model involving active and passive transport (diffusion). Appropriate interaction with the biologists in the lab will allow to weigh the relative importance of these phenomena.
      Keywords : spatial structuration, (active) transport, diffusion
      3. We then want to analyze the spatio-temporal dynamics of the TORC1 pathway and its impact on the protein synthesis. The model will be made as realistic as possible by taking into account the form on the cell in vivo. The quasi-spherical shape and the constant volume of the sea urchin egg offer a simple model to begin with. The spatial repartition of the organelles (such as the vesicles) can be acutely determined through interaction with the biologists in the lab and then be included in the model (Elias & Clairambault, 2014).
      Keywords : 3D models, spatial heterogeneity

      The PhD project comes with a standard 3-year-contract called 'contrat doctoral'. The selected candidate will work in the Roscoff marine station under the supervision of Patrick Cormier (biologist) and Benoît Sarels (mathematician). The candidate will be encouraged to actively collaborate with the mathematicians in the LJLL in Paris.

      The candidate should have obtained or be about to complete a master's degree in applied mathematics. Other profiles may be considered if the candidate demonstrates a strong ability either in applied mathematics or modeling. Prior knowledge of transport-reaction-diffusion PDE would be a plus. The candidate must master a numerical computing software or programming language, and be able to use and further develop numerical schemes. The candidate will have to demonstrate a strong interest for system biology approaches that aim at modeling, analyzing and simulating complex biological systems. It is critical for the candidate to be willing to work in a strongly multidisciplinary environment. An outstanding candidate would have the opportunity to take part in the creation of an emerging team of mathematical modeling in the Roscoff marine station. No knowledge of French is required as both supervisors are fluent in English. Please note however that the work language in the lab is French.

      Applications should be sent by email with the string "MoDyST" in the subject to patrick.cormier@sb-roscoff.fr and benoit.sarels@ljll.math.upmc.fr. Please send in a CV, a student certificate, a transcript with the grades obtained during the current and the last years and a cover letter. Applications will be reviewed as soon as they are received. We expect to interview candidates in Roscoff in June 2015. The PhD contract will start between September 1st and December 1st. The candidate will have the opportunity to teach classes over the course of the PhD studies. The teaching load is then of 64 hours per year with an additional salary of approximately 300 euros per month. The teaching would consist of supervisions sessions in the "double major biology - mathematics" UPMC bachelor program in Roscoff.

  • PhD Positions: Bioengineering & Robotics, Italian Inst of Tech
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Three PhD positions are offered at the Italian Institute of Technology (IIT), Robotics, Brain and Cognitive Science Department (RBCS). http://www.iit.it/rbcs

      Theme 5. Neural and motor bases of social interaction
      Tutors: Prof. Thierry Pozzo, Dr. Alberto Inuggi, Dr. Alessandro D'Ausilio

      Description: While progress has been made in the field of social neuroscience, the neural mechanisms underlying social interactions represent the 'dark matter' of cognition. We need to study real-time social encounters in a truly interactive manner, with the assumption that cognition is fundamentally different when we interact with others rather than merely observe them passively (Schilbach et al., 2013). In the classic motor control frame of reference, individuals can be conceived as proactively building models of their action and of their sensory consequence. During interaction, these sensorimotor models can be extended to the social space whereby the control signal becomes the negotiated behavior of other people (Wolpert et al., 2003). Here, we intend to map the brain activities responsible for the emergence of such a shared behavior. Recent research has employed the hyper-scanning technique consisting in the recording of brain activities from multiple participants engaged in artificial interactive tasks (Hasson et al., 2012).
      The current projects will go beyond current approaches by recording multimodal data of real face-to-face interaction between two subjects/agents recorded simultaneously. Recording will include Electroencephalographic (EEG), Electromyographic (EMG) and body motion kinematics (MoCap) data. The neural metrics of group collaboration will be extrapolated by calculating cortical connectivity indexes (Directed Transfer Function, Partial Directed Coherence), coherence factors among EEG, EMG and MoCap data and whole body movement features (Berret et al. 2009). This approach will allow the study of the neural and motor bases of social non-verbal interaction within a group of participants engaged in a collaborative realistic task.

      Requirements: The successful candidate will have a background in computer science or engineering, programming skills as well as a strong interest in cognitive neuroscience. Electroencephalographic and kinematic data analyses skills are a plus.

      References:
      1. D.M. Wolpert, K. Doya, M. Kawato, A unifying computational framework for motor control and social interaction, Phil Trans Roy al Soc Lond Series B: Biol Sci 358, pp. 593?602, 2013
      2. U. Hasson, A.A. Ghazanfar, B. Galantucci, S. Garrod, C. Keysers C., Brain-to-brain coupling: a mechanism for creating and sharing a social world. Trends Cognitive Sciences 16(2), pp. 114-121, 2012
      3. L. Schilbach, B. Timmermans, V. Reddy, A. Costall, G. Bente, T. Schlicht, K. Vogeley Toward a second-person neuroscience, Behav Brain Sci 36, pp. 393-414, 2013
      4. B. Berret, F. Bonnetblanc, C. Papaxanthis, T. Pozzo, Modular control of pointing beyond arm's length, Journal of Neuroscience, 29, pp. 191-205, 2009

      Contacts: thierry.pozzo@iit.it; alberto.inuggi@iit.it; alessandro.dausilio@iit.it

      Theme 7. Augmented sensorimotor interaction
      Tutors: Dr. Alessandro D'Ausilio, Dr. Leonardo Badino, Prof. Luciano Fadiga Department: RBCS

      Description: The project starts from the assumption that human cultural and moral evolution can only be based on the development of efficient cooperation, and coherence among people. In fact, human perception, action and cognition are geared to enable successful coordination with others. The MNIlab devises computational methods to quantify the information flow between human body movements in small group of participants (Badino et al. 2014). In fact, body movement is the key channel for non-verbal communication (D'Ausilio et al., 2015). The successful candidate will work on the extension and consolidation of this methodology to different scenarios (i.e. small group behavior during meetings or sport activities) and the development of the analytical tools to extract in real-time the quantitative flow of sensorimotor communication (Granger Causality, Transfer Entropy, Cross-Recurrence Quantification Analysis). The research program will be complemented by basic motor neurophysiological research on behavioral coordination (D'Ausilio et al., 2015). All these aspects will be critical to implement the next generation of biologically inspired automatic sensorimotor communication recognition systems. These automatic systems will be essential to augment natural human-human coordination and promote the future of efficient human-robot interaction.

      Requirements: The successful candidate will have a background in computer science, engineering, computational neuroscience or experimental psychology. Programming skills as well as a strong motivation in bridging the gap between technology and neuroscience are necessary. Kinematic data analyses skills are a plus.

      References:
      1. L. Badino, A. D'Ausilio, D. Glowinski, A. Camurri, L. Fadiga, Sensorimotor communication in professional quartets, Neuropsychologia, 55(1), pp. 98-104, 2014
      2. A. D'Ausilio, G. Novembre, L. Fadiga, P.E. Keller, What can music tell us about social interaction?, Trends Cognitive Sciences, 19(3), pp. 111-114, 2015
      3. A. D'Ausilio, E. Bartoli, L. Maffongelli L., Grasping Synergies: A motor-control approach to the mirror neuron mechanism, Phys Life Rev. 12, pp. 91-103, 2015

      Contacts: alessandro.dausilio@iit.it; leonardo.badino@iit.it; luciano.fadiga@iit.it

      Theme 9. Speaking in Concert
      Tutors: Prof. Luciano Fadiga, Dr. Leonardo Badino, Dr. Alessandro D'Ausilio Department: RBCS

      Description: While it is now undisputed that speakers engaged in a conversational interaction are perceived by external listeners as converging towards each other in how they speak, we do not know yet what exactly in their speech makes them sound more similar to each other. Both perceptual tests and detailed acoustic analyses have shown their limits, the former because they have failed to reveal along which acoustic/phonetic parameters convergence may occur between speakers, and the latter because we may not have looked at the right acoustic/phonetic parameters yet. In addition, little is known about the cerebral underpinnings of phonetic convergence in speech. The goal of this project is to better understand what makes speakers sound more like each other in a conversational interaction. We will achieve this by means of a set of simultaneous recordings at the neural, articulatory and acoustic levels, in order to identify the neural features that may control and modulate the articulatory movements that in turn are at the origin of convergence in speech. Another major issue will be to determine whether convergence is symmetrical or asymmetrical, i.e. whether one partner converges to a greater extent towards the other partner than the reverse. To address this issue, we will conduct a series of analyses based on methods such as Granger Causality and Transfer Entropy, which have already been successfully employed in studies on sensorimotor convergence (D'Ausilio et al., 2012).

      Requirements: A degree in Computer Science, Engineering or equivalent, with interests in Neuroscience. A background in speech processing, statistical analysis and machine learning will be appreciated.

      Reference:
      A. D'Ausilio, L. Badino, L. Yi, S. Tokay, L. Craighero, R. Canto, Y. Aloimonos, L. Fadiga, Leadership in Orchestra Emerges from the Causal Relationships of Movement Kinematics. PLoS ONE 7(5)

      Contacts: leonardo.badino@iit.it, alessandro.dausilio@iit.it, luciano.fadiga@iit.it

      How to apply

      Please note that the positions are available through the PhD course of BIOENGINEERING AND ROBOTICS, Curriculum Cognitive robotics, interaction and rehabilitation technologies, offered jointly by IIT and the University of Genoa. The official call and application forms are available on the website of the University of Genoa.

      The official calls are available here:
      [ENG] http://www.iit.it/en/openings/phd-calls.html
      [ENG] http://www.iit.it/images/phd-xxxi/RES.THEMES.COGNIROB.INTER.pdf
      [ITA] http://www.studenti.unige.it/postlaurea/dottorati/XXXI/IT

      Applications must be submitted online, instructions for applicants are available here:
      [ENG] http://phd.dibris.unige.it/biorob/index.php/how-to-apply

      Applications are considered for the subsequent selection ONLY if received ELECTRONICALLY through the UNIVERSITY of GENOA's website by the deadline.

      Application deadline: 10 June 2015, 12pm Italian time

      Applicants are strongly encouraged to get in touch the contact person(s) for the individual themes.

  • PhD/Post-doc Positions: Genomic-Metabolic..., Imperial College
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Postdoctoral and PhD positions in Systems & Synthetic Biology of genetic-metabolic networks, Department of Mathematics, Imperial College London

      We have two openings as part of a new project funded by the Human Frontier Science Program:

      1) Postdoctoral position in Systems and Synthetic Biology of metabolic adaptations

      2) PhD position in stochastic fluctuations of enzymatic reactions

      The successful candidate will join Dr Diego Oyarzun, (Biomathematical Sciences, Imperial College London) in exciting projects at the interface between Mathematics, Control Theory, and Systems/Synthetic Biology. Their general aims are to develop mathematical methods to analyze and predict metabolic responses from complex gene regulatory networks, and to showcase how new metabolic responses can be engineered in living cells.

      For additional information please contact Dr Diego Oyarzun (d.oyarzun@imperial.ac.uk). Details about both posts can be found in http://www.imperial.ac.uk/people/d.oyarzun. To apply for the postdoctoral position, please follow this link, application deadline: 05 June 2015. The start date for both posts is 01 September 2015.

  • PhD/Post-doc Positions: Math & Population Genetics, McGill U
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Graduate and postgraduate positions in mathematical and population genetics

      Graduate student and postdoc positions in mathematical and population genetics are available in Simon Gravel's group at McGill University in Montreal, Canada. The project aims at creating mathematical models of historical human migrations, family histories, and high-throughput genomic data. Students will be involved in conceptual methods development, implementation, and applications to exciting datasets. This is a unique opportunity to be involved in work that is relevant and interesting from a mathematical, medical, and historical perspectives.

      We welcome applications from qualified candidates from diverse backgrounds, including biology, anthropology, mathematics, physics, and computer science. Programming experience and a demonstrated interest in mathematics, statistics, or related fields is required.

      The position offers 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 gravellab@gmail.com. Please include a statement of interest (1 page) and a CV with a list of publications, contact information for three references, and a low-resolution scan of official transcripts.

  • PhD Position: Theoretical and Applied Mechanics ..., U of Adelaide
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      PhD opportunities in the Theoretical and Applied Mechanics Group, School of Mathematical Sciences, University of Adelaide

      The School of Mathematical Sciences at the University of Adelaide has a long tradition of research excellence in Applied Mathematics, with particular strengths in mathematical biology, fluid mechanics, and dynamical systems. Potential PhD projects currently available in the group include:
      * Intercellular calcium signalling in the mammalian cumulus-oocyte complex (A. Prof Yvonne Stokes)
      * Modelling and quantification of filamentous yeast growth (Dr Ben Binder)
      * Mechanics of the spinal disc (Dr Sarthok Sircar and Dr Edward Green)
      * Modelling of the manufacturing process for Microstructured Optical Fibres (used in biosensors and other applications) (A. Prof Yvonne Stokes)
      * Models for the role of mechanics in morphogenesis and tissue development (Dr Edward Green)

      Applicants should have a Masters degree (or, in the case of Australian applicants, a good Honours degree) in mathematics, physics, engineering or a related subject, and must satisfy the entry requirements of the Adelaide Graduate Centre, which include proficiency requirements in written and spoken English. Visit http://www.adelaide.edu.au/graduatecentre/admission/how-to-apply/ for details.

      University scholarships are available for well-qualified students, which are awarded on a competitive basis. Additional scholarship schemes are open to citizens of certain countries. More information can be found at: http://www.adelaide.edu.au/graduatecentre/scholarships/

      Potential applicants should contact prospective supervisors or the Postgraduate Coordinator for more information (see http://www.maths.adelaide.edu.au for contact details).

      The University of Adelaide is one of Australia's leading universities and a member of the prestigious Group of Eight. The city of Adelaide is consistently ranked in The Economist's Top Ten Most Liveable Cities in the World, and has an international reputation for its premium food and wine, and cultural events, such as the annual Festival of the Arts and Fringe Festival. For more information about Adelaide and the University, visit http://www.adelaide.edu.au

  • PhD Position: Mathematical Modelling ..., Swiss ... Institute
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      The Swiss Tropical and Public Health Institute is a public institution with the mandate to contribute to the improvement of the health of populations internationally and nationally through excellence in research, services, and teaching and training.

      The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, develops and applies epidemiological, statistical and mathematical methods to advance innovation, validation, and application in the field of public health. In partnership with the Department of Chemistry of the University of Basel (Prof. Anatole O. Lilienfeld) and our partners in Chad, the Institut de Recherches en Elevage pour le Developpement (IRED) and the Centre de Support en Sante Internationale (CSSI), we are seeking an interested candidate for the following position:

      PhD Mathematical Modelling of Dog Rabies Elimination

      This PhD studentship is available in the area of meta-population and contact network modelling approaches applied to dog rabies elimination.

      Required qualifications:
      (1) Master's degree in Mathematics, Statistics, Epidemiology or other relevant field;
      (2) strong quantitative, analytical and programming skills (preferably in at least one of MATLAB, R, C++, Fortran or Python);
      (3) background and/or interest in epidemiology and infectious disease dynamics;
      (4) ability to communicate effectively in spoken and written English (ability to communicate in French is an advantage).

      The successful applicant will be registered for a PhD degree at the University of Basel, Switzerland. The studentship provides support for 3 years and covers tuition fees and a doctoral salary at Swiss National Science Foundation scale.

      Chadian candidates are especially encouraged to apply.

      If you are interested, please submit your application online via the link provided below, in English with CV, and the names of 3 references: https://recruitingapp-2698.umantis.com/Vacancies/360/Description/2

      Kindly note that we can only consider applications from our online tool (no email). The closing date for applications is 31 May 2015. The positions are available immediately but a later starting date is possible by negotiation.

      For further information about the position please contact Prof. Dr. Jakob Zinsstag at jakob.zinsstag@unibas.ch or Dr. Nakul Chitnis at nakul.chitnis@unibas.ch.

  • MSc Position: Mathematical Medicine and Biology, U of Nottingham
    • SMB Digest Vol 15, Issue 16 - April 22, 2015

      The MSc in Mathematical Medicine and Biology at the University of Nottingham is open for applications to start in September 2015.

      The MSc in Mathematical Medicine and Biology prepares students to pursue successful careers in either academia or industry. As such, it provides an excellent first step towards embarking on a PhD in Mathematical Biology or towards working for companies in areas like drug development, healthcare, or sustainable agriculture.

      The programme provides training in advanced mathematical techniques including partial differential equations and stochastic processes. Moreover, it exposes students to a broad variety of biological and medical applications, ranging from subcellular processes such as gene regulation to organ-level dynamics. In particular the MSc offers practical experience in modelling dynamics in neuroscience, cardiac dynamics, cancer, inflammation and plants. Overall the MSc in Mathematical Medicine and Biology is an interdisciplinary postgraduate degree that combines exciting mathematical research areas with a wide range of practically relevant biological and medical questions.

      The programme currently offers 5 taught modules, which is followed by a dissertation. During the taught portion of the course students are introduced to key modelling concepts and numerical approaches in Mathematical Biology. In addition, advanced mathematical techniques are covered that allow students to successfully engage with today's challenges in biology and medicine. The dissertation provides students with an exciting opportunity to study a specific topic in more detail. Here, the wide range of interests and expertise within the research group of Mathematical Medicine and Biology at the University of Nottingham give students a great experience with hands-on research.

      For more information, please go to http://www.nottingham.ac.uk/pgstudy/courses/mathematical-sciences/mathematical-medicine-and-biology-msc.aspx.

  • Ph.D. Position: Ecology, U of New Brunswick
    • SMB Digest Vol 15, Issue 16 - April 22, 2015

      The Houlahan Lab is looking for a Ph.D. student with very strong quantitative skills and an interest in answering fundamental ecological questions that can be addressed with multi-year, -site, -species datasets. All applicants should have some experience in ONE of GLMM's, Bayesian modeling, machine learning and/or structural equation models and a commitment to learning more. It would be an advantage to have some experience programming in R or Python.

      Our lab focuses on using large datasets to address fundamental ecological questions and whole-system pond experiments to address both applied and fundamental ecological questions. We have addressed questions related to interspecific competition and diversity-stability relationships but are happy to discuss any interesting projects.

      We would be just as happy with a computer science or math student with an interest in ecology as an ecology student with interests in computer science math or statistics. An M.Sc. is preferable but exceptionally strong students without an M. Sc. will be considered.

      UNB Saint John is one of two campuses associated with the University of New Brunswick. The Biology department is small but dynamic with ~50 graduate students and strengths in marine ecology and eco-toxicology. The Houlahan lab is part of the Canadian Rivers Institute and the successful candidate would have access to the CRI state-of-the art laboratory facilities.

      Interested candidates should contact Jeff Houlahan (jeffhoul@unb.ca).

  • Doctoral Scholarships: Math for A Sustainable ..., U of Nottingham
    • SMB Digest Vol 15, Issue 16 - April 22, 2015

      Leverhulme Doctoral Scholarships - Mathematics for A Sustainable Society

      The University of Nottingham is seeking PhD applications to this doctoral training centre, which aims to tackle the ongoing global problems of food shortages, water scarcity and insufficient clean energy by using mathematics to help understand and optimise resource use through predictive modelling, statistical analysis and uncertainty quantification.

      A number of the projects focus on biological aspects of resource sustainability, including plant growth, anti-microbial resistance in agriculture, and bio-energy.

      The scholarships are for four years and will cover PhD tuition fees for UK/EU students, plus a tax-free stipend of 13,863 GBP per annum (2014/15 rate). At the end of their PhD, Leverhulme Doctoral Scholars will be eligible to apply for an additional one-year post-doctoral prize, funded by The University of Nottingham, to help establish their independent research careers.

      Further details and application instructions can be found at http://www.nottingham.ac.uk/mathematics/prospective/research/leverhulme-doctoral-scholarships.aspx

      For any enquiries please email: PM-pg-admissions@exmail.nottingham.ac.uk, quoting reference SCI1427.

  • MS Assistantship: Incorporating Geographic ..., Utah State U
    • SMB Digest Vol 15, Issue 15 - April 15, 2015

      MS Assistantship at Utah State University: Incorporating Geographic Variability Into a Mountain Pine Beetle Phenology Model.

      Utah State University (USU) and the US Forest Service Rocky Mountain Research Station (RMRS) in Logan, UT seek a motivated student to join our group examining the influence of climate change on mountain pine beetle dynamics.

      Applications from students with interests in mathematical biology, entomology and/or forest ecology are encouraged to apply. The candidate student would pursue a degree in either biology, wildland resources, mathematics, or statistics depending on background and career goals; multi-disciplinary coursework and mentoring is envisioned. The student will receive a competitive 12-month stipend and travel support; full tuition waiver is available for students completing a Masters thesis. Interested applicants should send an email to Dr. Barbara Bentz (bbentz@fs.fed.us) and Dr. James Powell (jim.powell@usu.edu) including:

      1) A resume describing your education, employment, and publication/ presentation history,
      2) A list of three references (and their contact information),
      3) A copy of your academic transcripts (unofficial) and GRE scores,
      4) A cover letter describing your research interests and why you would be a good candidate for this assistantship.

      For more information about the Mathematical Biology program at USU see http://biomath.usu.edu, for the College of Natural Resources see http://www.cnr.usu.edu, for the Ecology Center see http://www.usu.edu/ecology and for the USFS RMRS Logan Lab see http://www.usu.edu/beetle.

  • PhD Scholarship: Mathematical Modeling..., U of New South Wales
    • SMB Digest Vol 15, Issue 13 - April 1, 2015

      PhD scholarship: mathematical modeling in infection and immunity

      The Complex Systems in Biology Group at the University of New South Wales is looking for talented students to join their team in Sydney, Australia, investigating immunity and vaccination for chronic infectious disease. The group is an interdisciplinary team including immunologists, applied mathematicians, physicists, chemists, engineers and computer scientists. The team uses mathematical modeling, statistical analysis, and computer simulation to understand immunity from 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 diversify their experiences in mathematical biology, or considering a career change from mathematics / physics or other disciplines to work in mathematical biology.

      Applicants are sought for International student scholarships for PhD studies. These scholarships cover tuition and living expenses. PhD studies generally last 3.5 years. More details are at: http://research.unsw.edu.au/international-research-candidate-scholarships

      The scholarships are highly competitive, and a high GPA (first class honours or equivalent. High ranking in class) +/- publications are required.

      Interested students should forward a CV and outline of interests to Professor Miles Davenport (m.davenport@unsw.edu.au).

      Applications are due 24 August 2015 for students to commence in early 2016, but students should make contact as soon as possible.

      For more details of research interests see: http://med.unsw.edu.au/people/professor-miles-davenport

      The University has a strong reputation for scholarship http://www.topuniversities.com/universities/university-new-south-wales/undergrad and is located around 15 minutes by bus from central Sydney, and 15 minutes walk from the popular Coogee beach.

  • MSc Position: Advanced Mathematical Biology, U of York
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      Applications are open for the MSc in Advanced Mathematical Biology at the University of York, based in the beautiful Roman/Viking city of York in the UK, due to start October 2015.

      The MSc in Advanced Mathematical Biology is an intensive one-year taught programme that will prepare students either for a career in industry in the quantitative life sciences or for further academic research in Mathematical Biology. It will provide insight into processes over a wide range of scales; from highly symmetric capsids (the cases that surround viruses), through soft matter and suspensions of biased swimming cells to the dynamics of food-webs and diseases. Advanced statistical methods, systems biology and biological fluid dynamics will be covered, and there will be emphasis on applications to policy and industry throughout. This programme aspires to fill the language gap between technical mathematical concepts and real world applications in the biological and life sciences. Students will gain a comprehensive grounding in cutting edge theory coupled to training in the subtleties of application.

      An important part of the programme is a summer work-based placement. At the end of the spring term, students will select a placement from a list of academic and industrial institutions across the sector. Students will spend a period of three months working closely with their chosen institution with a placement supervisor, assessed via a dissertation.

      This year, taught modules are likely to include: Applications of Group Theory in Virology; Bayesian Statistics; Bioinformatics; Biological and Soft Matter; Biological Fluid Dynamics; Conservation Ecology & Biodiversity; Ecological Modelling; Essential Mathematical Biology; Field & Laboratory Experimental Skills; Issues in Modern Biology (research based seminars); Modelling with MATLAB; Numerical Techniques for Modelling Biological Systems; PDEs; Stochastic Processes; Survival Analysis; and a Group Research Project.

      Scholarships: funding for the relatively low fees can be obtained from a variety of sources, including the York Masters Opportunity Scholarships. Please see the webpage for the programme. http://maths.york.ac.uk/www/MScBiology

  • PhD Fellowships: Statistical Ecosystem Modelling, U of Iceland
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      PhD Fellowships in the Division of Applied Mathematics at the University of Iceland

      The University of Iceland is pleased to offer two PhD fellowships within the Applied Mathematics Division for students interested in Quantitative Ecology, Ecosystem Modelling, and Statistics:

      Modellers at the Science Institute of the University of Iceland are presently implementing an Atlantis and an Ecopath with Ecosim (EwE) model for the Icelandic waters. Atlantis is a deterministic, whole of ecosystem biogeochemical model that includes oceanographic, ecological, economic, and social components. EwE is a whole of ecosystem model consisting of three principal components: Ecopath - a mass-balanced, static snapshot of a marine system; Ecosim - a time dynamic simulation module; and Ecospace - a spatial and temporal dynamic module.

      The recipients will work closely with researchers developing these ecosystem models to expand the scope and broaden the impact of these models. They will work to evaluate alternative economic, ecological, and environmental objectives and social responses on the Icelandic marine ecosystem within a management strategy evaluation framework.

      Both fellowships are fully-funded for 3 years. The ideal candidate for these fellowships will have a strong background in mathematics and statistics or ecology with a strong interest in quantitative ecology and ecosystem modeling; interest in policy and management; strong programming skills in R; and some experience with C languages.

      Applicants should possess an MSc degree and good verbal and written skills in English are required.

      These fellowships will be under the direction of Prof. Gunnar Stefansson (e-mail: gunnar@hi.is; http://www.hi.is/~gunnar/).

      Studies will commence immediately. An initial relocation and an annual travel allowance are included. Please note there is no closing date and the positions will be filled once suitable candidates are found.

      The Applied Mathematics Division is a research unit under the Science Institute of the University of Iceland. The unit covers the following research areas; operation research, probability theory, theoretical and applied statistics, ecosystem modeling, biostatistics, numerical analysis and computational intelligence.

      The application should contain a cover letter, a full curriculum vitae including documentation of academic degrees and a minimum of two references. Applications should be sent as e-mail attachments in PDF format to Prof. Gunnar Stefansson, gunnar@hi.is (Applied Mathematics Division, Science Institute. University of Iceland, Dunhagi 5, 107 Reykjavik, Iceland).

      For additional information about the positions, please contact Dr. Christopher David Desjardins at christop@hi.is.

  • PhD/Postdoc Positions: Theoretical and..., U of Groningen
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      Three PhD student or postdoc position are available at the Groningen Institute for Evolutionary Life Sciences (formerly the Centre for Ecological and Evolutionary Studies), at the University of Groningen, The Netherlands. The positions are part of the VICI project 'On the origin of species assemblages' awarded to prof. Rampal S. Etienne (r.s.etienne@rug.nl). The aim of this program is twofold:
      1. developing a fully stochastic, dynamical, eco-evolutionary and data-friendly theory of community assembly, and
      2. testing and informing this theory with model-oriented experiments and field studies of both macro-organisms and micro-organisms. The details of the positions can be found here:

      PhD position Theoretical eco-evolutionary assembly of ecological communities
      http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=00347-02S0004E9P&cat=phd

      Postdoc position Theoretical eco-evolutionary assembly of ecological communities
      http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=00347-02S0004EAP&cat=wp

      PhD or Postdoc position Simultaneous Estimation and Selection of Species Diversification Models
      http://www.tangram-tis.nl/10378/Vacatures/00347-02S0004EMP/Vacature-PhD-or-Postdoc-Simultaneous-Estimation-and-Selection-of-Species-Diversification?category=Groepspecifiek_RUG_Categorie%2CGroepspecifiek_RUG_Categorie2!!Categorie!!RUC.PROM

  • PhD & Postdoc Positions: Bioinformatics, Graz U of Technology
    • SMB Digest Vol 15, Issue 8 - February 25, 2015

      Open PhD and Postdoc positions in Bioinformatics

      Deadline: 28 February 2015

      Contact: Prof. Dr. Mario Albrecht, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria, info@mario-albrecht.at

      Further information at http://www.medbioinf.at and below!

      Note: Please send your application both to info@mario-albrecht.at and informatik@tugraz.at citing the reference number 7090/15/001.

      Open full-time paid bioinformatics PhD student position for molecular network research until 28 February 2015, for details see http://wwww.medbioinf.at and as follows:

      Molecular networks and proteins are involved in many biological processes. Therefore, we aim at the development and application of computational network methods for the analysis and prediction of molecular interactions and their structural and functional changes due to sequence mutations. The mutations might occur in disease genes or bacterial and viral genomes. Based on the analysis results, we also want to develop innovative bioinformatics approaches for modeling pathways and their changes as well as for the design and prioritization of follow-up experiments.

      Open full-time paid bioinformatics postdoc position for integrative omics research until 28 February 2015, for details see http://bioinf.tugraz.at/images/Postdoc.pdf and as follows:

      Cancer is the leading cause of death and involves altered lipid metabolism. The rate-limiting enzyme in triacylglyceride degradation, the adipose triglyceride lipase (ATGL), might not participate only in lipid mobilization and degradation, but also in signaling pathways by generating lipid signaling molecules. Therefore, we aim at the large-scale elucidation of the functional role of ATGL in cancer progression using different omics strategies combined with computational approaches. Novel bioinformatics methods are developed for analyzing the data of molecular proteomics and metabolomics networks related to lipolysis in cancer.

  • PhD position: Quantitative biology..., U of Zurich
    • SMB Digest Vol 15, Issue 7 - February 18, 2015

      PhD position: Quantitative biology approaches to assess the interplay of host and viral factors in the hurdle to cure HIV.

      We are looking for a highly motivated PhD-Student on a project at the interface of bioinformatics, evolution, and systems biology in the context of HIV therapy and cure. The project combines molecular epidemiology approaches with clinical data and mathematical models in order to investigate the long-term success of HIV-therapy and to understand the key challenges on the way towards a cure of the virus. The PhD student will carry out his projects in the context of the Swiss HIV Cohort Study (SHCS). The SHCS is the ideal setting for these projects as it is highly representative for the HIV population in Switzerland and combines sequence and clinical data of extraordinary quality. The student will work on a range of specified research projects, but will be also highly encouraged and expected to develop and investigate his own research questions.

      The ideal applicant has strong quantitative/computational skills and a strong interest in infectious-disease epidemiology. The applicant should hold a Masters degree in a discipline relevant to the project (e.g. Epidemiology, Statistics, Mathematics, Biomedical Sciences, Physics, Computer Science).

      The PhD will take place within the PhD-Program Epidemiology and Biostatistics of the Life Science Zurich Graduate School (run jointly by the University of Zurich and the ETH Zurich). Research will be conducted at the Division of Infectious Diseases at the University Hospital of Zurich (University of Zurich; head of research: Huldrych Gunthard). The Division of Infectious Diseases provides a highly interdisciplinary and translational research environment with links both to clinical practice and basic science. Moreover, we are strongly interconnected with a variety of other research institutes in Zurich and beyond. In particular, we maintain strong collaborations with the Institute of Medical Virology (Alexandra Trkola) at the University of Zurich, and the Institutes of Theoretical Biology (Sebastian Bonhoeffer) and Computational Biology (Niko Beerenwinkel) at the ETH Zurich.

      Start date: As soon as possible.

      Applicants should send a cover letter, a detailed CV, and contact information for two or three academic references to: Dr. Roger Kouyos, roger.kouyos@uzh.ch.

  • 16 PhD Positions: Life Sciences, Mathematical..., CiM-IMPRS
    • SMB Digest Vol 15, Issue 7 - February 18, 2015

      16 PhD Fellowships in Life Sciences, Mathematical Modelling and Image Analysis

      The International Max Planck Research School-Molecular Biomedicine (IMPRS-MBM) and the Cells in Motion Excellence Cluster (CiM) offer 16 PhD Fellowships in Life Sciences, Mathematical Modelling, and Image Analysis. More PhD positions financed by work contracts may be offered depending on availability.

      The CiM Graduate School and IMPRS-MBM - jointly run by the University of Munster and the Max Planck Institute for Molecular Biomedicine - offer interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation of mathematical models to the development of new imaging-related techniques and compounds.

      Research areas:
      Molecular Biology
      In vivo Imaging
      Image Analysis
      High Resolution Optical Imaging
      Biophysics
      Chemical Biology
      Label Chemistry
      Mathematical Modelling and more.

      Applications for the 3-year PhD program can be submitted from 10 February -15 April 2015. Projects start in October 2015. Applications can only be submitted via our online system.

      For online application and further information go to http://www.cim-imprs.de.

      The program offers excellent scientific and transferable skills training, a competitive tax-free fellowship and support with administrative matters, accomodation, visas etc. There are no tuition fees. The program language is English. We invite applications from highly qualified and motivated students of any nationality from biological sciences, chemistry, mathematics, computer sciences and physics. We are looking forward to your application for a PhD fellowship in Münster, "the world's most liveable city" (LivCom Award 2004).

      Contact: cim-imprs@uni-muenster.de

Postdoctoral positions

(Click on job title for additional information.)
  • PhD/Post-doc Positions: Genomic-Metabolic..., Imperial College
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Postdoctoral and PhD positions in Systems & Synthetic Biology of genetic-metabolic networks, Department of Mathematics, Imperial College London

      We have two openings as part of a new project funded by the Human Frontier Science Program:

      1) Postdoctoral position in Systems and Synthetic Biology of metabolic adaptations

      2) PhD position in stochastic fluctuations of enzymatic reactions

      The successful candidate will join Dr Diego Oyarzun, (Biomathematical Sciences, Imperial College London) in exciting projects at the interface between Mathematics, Control Theory, and Systems/Synthetic Biology. Their general aims are to develop mathematical methods to analyze and predict metabolic responses from complex gene regulatory networks, and to showcase how new metabolic responses can be engineered in living cells.

      For additional information please contact Dr Diego Oyarzun (d.oyarzun@imperial.ac.uk). Details about both posts can be found in http://www.imperial.ac.uk/people/d.oyarzun. To apply for the postdoctoral position, please follow this link, application deadline: 05 June 2015. The start date for both posts is 01 September 2015.

  • PhD/Post-doc Positions: Math & Population Genetics, McGill U
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Graduate and postgraduate positions in mathematical and population genetics

      Graduate student and postdoc positions in mathematical and population genetics are available in Simon Gravel's group at McGill University in Montreal, Canada. The project aims at creating mathematical models of historical human migrations, family histories, and high-throughput genomic data. Students will be involved in conceptual methods development, implementation, and applications to exciting datasets. This is a unique opportunity to be involved in work that is relevant and interesting from a mathematical, medical, and historical perspectives.

      We welcome applications from qualified candidates from diverse backgrounds, including biology, anthropology, mathematics, physics, and computer science. Programming experience and a demonstrated interest in mathematics, statistics, or related fields is required.

      The position offers 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 gravellab@gmail.com. Please include a statement of interest (1 page) and a CV with a list of publications, contact information for three references, and a low-resolution scan of official transcripts.

  • Post-doc: Infectious Disease/Epidemiol. Modeling, Case Western
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      POSTDOCTORAL RESEARCH POSITION IN INFECTIOUS DISEASE EPIDEMIOLOGY AND MODELING

      We are seeking applications for an exciting position beginning in the summer of 2015, involving infectious disease modeling for the study of HIV prevention, antiretroviral drug resistance and public health policy. This is a full-time position that may be renewed annually subject to satisfactory performance and the availability of funds.
      Qualifications:
      -A Ph.D. degree in mathematical epidemiology, applied mathematics, theoretical physics, engineering, computer science, or related field.
      -Strong research experience in mathematical and computational modeling including formulation and analysis of deterministic and individual-based models.
      -Experience in analytical and quantitative methods, including deterministic and stochastic differential equations, integral equations, nonlinear dynamics, probability theory, and stochastic processes.
      -Proficiency in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics.
      -Outstanding skills in programming (C++) and experience in using software packages such as Matlab, Mathematica and Microsoft Office.
      -Experience with statistical data analysis and related packages, such as Stata and R.
      -Excellent skills in communication, review of scientific literature and scientific writing.
      -Working knowledge of the biology and epidemiology of infectious diseases, especially HIV, though preferred, is not necessary.

      Please submit your curriculum vitae, a statement of research interests and goals and contact information for three references via email to:
      Ume L. Abbas, MD.
      Email: abbasu@ccf.org
      Cleveland Clinic / Case Western Reserve University
      Cleveland, OH United States

  • Post-doc: Infectious Disease Modeling, North Carolina State U
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

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

      Our group focus is the epidemiology and ecology of enteric and antimicrobial resistant pathogens in animal and human populations. We combine data, epidemiological analysis and mathematical models to study transmission mechanisms, sources of transmission heterogeneity, and to identify and design control measures to reduce the public health burden associated with infectious diseases. Our research is currently supported by NIH and USDA.

      The post-doc will work will use animal movement data collected through real time location systems to develop contact networks and will integrate the networks on agent-based models for the transmission of pathogens in cattle populations. Mean-field/compartmental models will be also developed. The models will be used to assess transmission of directly and indirectly transmitted pathogens, and evaluate sources of transmission heterogeneity.

      Necessary Education, Experience Skills, Training and Education: The postdoctoral associates shall have a Ph.D. degree in a relevant quantitative discipline (ecology, epidemiology, engineering, applied mathematics, physics, statistics and related fields) and have a deep interest in interdisciplinary collaboration, strong quantitative and programming skills and good oral and writing skills are expected. Experience developing and implementing agent-based models and/or network models is desirable.

      The initial appointment will be for one year, with renewal for two or more years subject to satisfactory progress and mutual agreement. The salary will be commensurate with the qualifications and experience of the individuals. Review of applications will begin May 15th 2015 and will continue until suitable candidates are identified.

      To apply for the position please follow the link: https://jobs.ncsu.edu/postings/52006

      Applicant material includes a cover letter, CV and contact information for three references.

      If you have questions specific to the positions please contact me at clanzas@ncsu.edu

  • Postdoc Position: Ecological/Environmental Modeling, Germany
    • SMB Digest Vol 15, Issue 18 - May 6, 2015

      The Institute of Environmental Systems Research at the School of Mathematics/Computer Science of Osnabruck University (Germany) has an opening for a Scientific Research Associate in environmental/ecological modeling (salary scale E 13, 100%) for the duration of three years, starting on 1 October 2015.

      The successful candidate will perform research in mathematical or computer-based modeling of ecological and environmental systems. In addition, the position comes with a teaching duty amounting to 4 contact hours(180 minutes) per week during the teaching period (29 weeks per year).

      Required Qualifications:
      Qualifications required are a doctoral degree in (Applied or Bio-) Mathematics, Physics, Theoretical or Quantitative Biology, Geoecology, Computer Science, or an interdisciplinary program such as Applied Systems Science or Environmental Modeling.

      Ideally, the successful candidate has research experience in one of the following fields:
      - Riverine modeling
      - Modeling integrated pest management
      - Spatio-temporal population dynamics
      - Modeling of wildlife diseases

      Salary and conditions:
      Salary is according to German salary scale TV-L E 13, 100% (gross salary of approx. EUR 42,000-49,000 depending on experience).

      Applications:
      To apply, please email Prof. Frank M. Hilker(frank.hilker@uni-osnabrueck.de) with a statement of interest, CV, transcripts, and the names and contact addresses of at least two academic references (in one pdf file) by May 29, 2015. For further information and inquiries, please contact Frank M. Hilker (frank.hilker@uni-osnabrueck.de, phone +49 541 969 3441).

  • Postdoc Position: Mathematical Models of Kidney Physiology, Duke U
    • SMB Digest Vol 15, Issue 18 - May 6, 2015

      Applications are sought for a two-year postdoctoral position for the Layton Lab in the Department of Mathematics at Duke University. Research will focus on the development and analysis of mathematical models of kidney physiology. The position also involves teaching up to 2 classes a year.

      Desirable qualities of candidates include (1) a PhD in mathematics or applied mathematics, engineering, computer science, or another relevant field, (2) strong programming and numerical skills, and (3) background and/or interest in physiology.

      Salary will be competitive and commensurate with skills and experience. Benefits will be provided. Support is available for travel to conferences as appropriate.

      For further information, please email Prof. Anita Layton (alayton@math.duke.edu) with a statement of interest, a CV, and the names and contract information for three references. The position is open immediatley and applications will be considered until the position is filled.

      Lab website: http://www.math.duke.edu/~alayton/

  • Postdoc Position: Pharmacometrics and Systems ..., U of Florida
    • SMB Digest Vol 15, Issue 18 - May 6, 2015

      Postdoctoral Research Associate in Pharmacometrics and Systems Pharmacology Center for Pharmacometrics and System Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando (Lake Nona), Florida.

      Job Function: Postdoctoral Research Associate Positions in Pharmacometrics, PBPK modeling, Systems Biology/Pharmacology
      Entry Level: N/A
      Setting: College/University/Medical City Campus
      Location: Orlando (Lake Nona), Florida, United States
      Job Type: Full-Time
      Minimum Education: Ph.D. or equivalent degree in quantitative sciences including Engineering, Statistics, Mathematics and Systems Biology/ Pharmacology

      Fellowship Description
      The mission of the Center for Pharmacometrics and System Pharmacology (CPSP) at the University of Florida (UF) is to develop new quantitative tools and mechanistic approaches to evaluate and predict the efficacy and safety of medicines. The CPSP has several two year fellowships available for scientists who intend to further their training for a career in drug development, academia or regulatory science.

      The successful applicants will have access to clinical trial data in order to learn how to apply and become proficient in using population-based PK/PD modeling, Systems Biology/Pharmacology and computer simulation approaches to solve drug development and regulatory problems such as optimal dosing and biomarker qualification. Depending on the availability of projects and interests of the applicant, he or she will also learn how to effectively use disease progression models and physiologically based PK/PD models to design clinical trials, understand the pharmacological mechanisms of drug action, explore covariate effects on PK and PD and determine the influence of genetic factors on drug dosing. The fellow will have the opportunity to participate in systems pharmacology research under the direction of a CPSP faculty to identify the mechanistic basis of drug adverse drug events arising out of drug development programs, FDA safety alerts or clinical practice.

      Postdoctoral research associates will engage in a combination of duties that will include research projects, graduate student mentoring, grant writing and classroom teaching experiences. Fellows will also gain experience outside the University of Florida through industry or FDA internships or off-site participation in research with our Orlando partners including the Sanford Burnham Medical Research Institute (SBMRI), Nemours Children Hospital, and SBMRI-Florida Hospital Translational Research Institute. It is expected that fellows attend and present at professional meetings, participate in workshops and seminars and prepare at least 3-4 peer- reviewed publications to build a foundation for personal career achievements. In addition to the scientific and clinical duties, fellows are given the opportunity to grow their "soft skills", such as oral communication, presentation skills and working on multi-disciplinary teams.

      Job Qualifications

      Preferred qualifications for the position are a doctoral (Ph.D. or equivalent) degree in quantitative sciences including Engineering, Statistics, Mathematics and Systems Biology as well as knowledge of, or experience in, therapeutics in one or more disease areas with an interest in pursuing a career in Pharmacometrics and/or Systems Pharmacology. The ideal candidate should possess strong programming skills, excellent written and verbal communication, good organizational abilities, and team work. A background and understanding of basic pharmacology, pharmacometrics and/or systems biology/pharmacology is preferred as is hands-on knowledge in using software platforms such as NONMEM, MATLAB, R, SAS, PK-Sim, GastroPlus, SimCYP or other software/scripting languages is required. The candidate must be self-directed and self-motivated.

      To Apply
      Please send curriculum vitae and contact information for three references to Dr. Lawrence J. Lesko, llesko@cop.ufl.edu, 6550 Sanger Road Orlando, FL 32827.

  • 3 Postdoc Positions: Biomedical Informatics, Harvard Medical School
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      Position 1: Areas of Interest: Epigenetic Regulation, Cancer, Genomic Analysis, Computational Biology.

      Job Description: A laboratory at the Center for Biomedical Informatics at the Harvard Medical School (HMS) is looking for a postdoctoral Research Associate interested in computational analysis of epigenetic mechanisms disrupted in cancer and other disease tissues. The Research Associate will be responsible for developing and applying statistical and computational methods for integrative analysis of genome-wide epigenetic, transcriptional and proteomic data, aiming to identify specific factors and molecular mechanisms underlying misregulation of the epigenetic states. The projects are being conducted in close cooperation with several experimental laboratories, providing an excellent opportunity for collaborative research.

      Requirements:
      - Hands-on experience with DNA or RNA sequencing assays
      - Good understanding of the basic statistical techniques
      - A strong interest in conducting collaborative research on the topics outlined above
      - Track record of publications in peer-reviewed journals
      - PhD degree in Molecular Biology, Computational Biology, or a related discipline.

      How to apply: Please send cover letter, curriculum vitae and contact information for at least two references to Dr. Peter Kharchenko at peter_kharchenko@hms.harvard.edu. Applications will be considered until the position is filled.

      Position 2: Postdoctoral Research Associate Position (Statistical Modeling of the Scientific Workforce)

      Summary:
      The Weber Lab in the Center for Biomedical Informatics (CBMI) at Harvard Medical School is seeking a Postdoctoral Research Associate to help model the scientific workforce. The scientific workforce is increasingly relying on teams to solve the most critical intellectual and social problems that confront us today. Team collaborations, a growing trend across all disciplines, yield publications with higher intellectual impact than single researchers; and, the careers of young scientists are influenced by relationships with others in the community. We are developing a systems- based approach to studying scientific workforce dynamics that models the mechanisms of how new collaborations form and how these influence both the effectiveness of teams and the career trajectories of individual scientists.

      Requirements:
      Candidates must have a PhD or other advance degree in statistics, computer science, biomedical informatics, or a related field. A strong background in statistical modeling is required. Some experience programming or working with databases is needed due to the size of the data, though database programmers within the Weber Lab will be available for help and training. Candidates should be highly motivated, creative, and interested in learning new skills. They must enjoy solving complex and challenging problems and being part of a multidisciplinary research team. Excellent written and verbal communication skills are essential.

      Preferences:
      Experience with R statistical software and/or Microsoft SQL Server is desirable. Experience with social network analysis, natural language processing, or data visualization would also be helpful for the project.

      Terms:
      The position is available immediately and can be renewed annually.

      How to apply:
      Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to: Griffin M Weber, MD, PhD, weber@hms.harvard.edu

      Position 3: Postdoctoral Research Associate Position (Probabilistic Algorithms and Software for Biomedical Big Data)

      Summary:
      The Weber Lab in the Center for Biomedical Informatics (CBMI) at Harvard Medical School is seeking a Postdoctoral Research Associate to help develop probabilistic algorithms and software for biomedical "Big Data". Despite all the recent attention to Big Data in both the scientific literature and popular press, it has yet to have the same impact on medicine as it has in other areas, such as finance, retail business, political campaigns, and national security. We believe the key for clinical applications of Big Data is the ability to create a holistic view of a patient's health history by linking disparate data sources, such as electronic health records, administrative claims, genomic data, and data outside the healthcare system, including social media and information about the environment. Because there are legal and ethical concerns about sharing health data, coupled with the fact that there is no universal patient identifier, our approach is to use probabilistic algorithms that can protect patient privacy and scale efficiently while searching for information about patients across datasets with billions of records.

      Requirements:
      Candidates must have a PhD or other advanced degree in computer science, biomedical informatics, computational biology, artificial intelligence, biostatics, or a related field. A strong background in collaborative software development, and in particular probabilistic algorithms and/or statistical modeling is required. Experience with large relational databases and/or other Big Data tools such as Hadoop is also important. Software components in the distributed query tool, including the patient linkage module, will be hosted in AWS and communicate using RESTful APIs. Candidates should be highly motivated, creative, and interested in learning new skills. They must enjoy solving complex and challenging problems and being part of a multidisciplinary research team. Excellent written and verbal communication skills are essential.

      Preferences:
      Experience with version control software and project management tools like JIRA are desirable. We primarily use Microsoft SQL Server and write software in C# for .NET; though, this is not a requirement, and other development groups that are part of this project use different programming languages including Java, Python, Perl, and R.

      Terms:
      The position is available immediately and can be renewed annually.

      How to apply:
      Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to: Griffin M Weber, MD, PhD, weber@hms.harvard.edu

  • Postdoc Position: Health Policy Simulation Modeling, Stanford U
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      Postdoctoral Fellowship in Health Policy Simulation Modeling, Stanford University, Stanford, CA

      Postdoctoral Fellowship in Health Policy Simulation Modeling is available in Dr. Sylvia Plevritis' Lab located in the James H. Clark Center at Stanford University. The fellowship will involve the development and application of computer simulation modeling to study the impact of alternative cancer screening and treatment strategies on cancer incidence and mortality rates in the US population and inform health policy. The ideal candidate should have a Ph.D. in a field related to simulation modeling (i.e. operations research, applied mathematics) or a field that involves training in statistical analysis of clinical data (i.e. biostatistics, health-outcomes research, epidemiology). Experience in stochastic simulation modeling, Monte Carlo methods, parameter estimation, survival analysis and computer programming (C/C++, R) is critical. Knowledge of cancer epidemiology, cancer screening and treatment trials and analysis of cancer registry data is needed. Excellent verbal and written communication skills are necessary. Applicants should submit a cover letter, CV and 3 references to Ramzi Totah via email: rtotah@stanford.edu, with subject line "Postdoctoral Fellow in Health Policy Simulation Modeling."

  • Postdoc Position: Bioinformatics and computational modeling, NIH
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      Postdoctoral Position at the NIH
      Position Title: Bioinformatics and computational modeling
      Position Description:
      * Theoretical systems biology with a particular emphasis on elucidating mechanisms in disease processes, integrating physiological and genome-scale datasets
      * The Computational Medicine Section is part of the Laboratory of Biological Modeling, a laboratory with a broad range of projects in applying quantitative analysis to biomedical problems, ranging from genome scale inference to diabetes and obesity.
      * Strong mathematical and computational skills, some knowledge of machine learning, and a broad knowledge of biology
      * Please email a curriculum vitae, names and contact information of at least three individuals familiar with your academic work, and a statement of research interests and future goals to Vipul Periwal, vipulp@niddk.nih.gov, with subject heading: Computational Medicine Search.

      Employer Name: National Institute of Diabetes and Digestive and Kidney Diseases
      Position Location: Bethesda, MD
      Application Deadline Date: 5/30/2015

  • 6 Postdoc Positions: Modeling Complex Interactions, U of Idaho
    • SMB Digest Vol 15, Issue 17 - April 29, 2015

      The NIH-funded Center for Modeling Complex Interactions (CMCI) at the University of Idaho will create the intellectual, cultural, and physical environment to foster convergence in interdisciplinary biomedical research. The Center will address complex biomedical problems across all levels of biological organization, from biophysical to ecological, beginning with the study of viral co-infection. Co-infection is a common but understudied area of infectious disease. The focal point of CMCI is the Collaboratorium, a space and a culture for collaborative modeling. It will bring together faculty from both the empirical and modeling realms with postdoctoral scientists who reside in the Collaboratorium and devote full-time effort to collaborative modeling.

      We currently have openings for four postdocs in the Collaboratorium and two in experimental laboratories:

      1) epidemiological and biostatistical modeling (SP000473P)
      2) transcriptomic and proteomic analysis and modeling (SP000470P)
      3) deterministic and agent-based modeling (SP000472P)
      4) molecular modeling of proteins (SP000471P)
      5) pathogenesis of viral coinfection in mice(SP000474P)
      6) molecular biology of viral coinfection in flies (SP000475P)

      To apply, go to http://apptrkr.com/608858 and search by the posting number following each positon. Review of applications will begin May 18, 2015. Applications will be accepted until all positions are filled.

      Contact Center for Modeling Complex Interactions: cmci@uidaho.edu or http://www.cmciuidaho.org/

  • Postdoc Position: Quantitative Geography, Stony Brook U
    • SMB Digest Vol 15, Issue 16 - April 22, 2015

      A postdoctoral position will be available, starting on or after July 1, 2015, in Dr. Heather Lynch's lab in the Department of Ecology & Evolution at Stony Brook University, Stony Brook, NY. This post-doc will be part of a project titled: "The use of Quantitative Geography to Predict Population Tipping Points for Colonial Seabirds"; this postdoctoral researcher will be one member of a team of researchers working to integrate satellite imagery with statistical and mathematical models of seabird colony formation. The primary responsibility of this position is the development of mathematical models for spatial pattern formation in penguin colonies; additional mathematical or statistical modeling studies relevant to penguin population dynamics may be pursued depending on interest. Ideal applicants will have completed their Ph.D. in applied mathematics, physics, or mathematical biology; prior experience with the mathematics of biological or ecological systems ideal but not required. This position will require close collaboration with a graduate student and another post-doc working on remote sensing, as well as mentorship of undergraduate and high school researchers, so strong communication skills with non-mathematicians are essential. Members of groups under-represented in applied mathematics are particularly encouraged to apply. Applications should be received by May 8, 2015.

      Applicants should apply online at http://bit.ly/1DJxRBZ.

      Questions? Email: heather.lynch@stonybrook.edu Phone: 631-632-9508

      At least two letters of recommendation will be requested of candidates selected for interview, so please include contact information for references in your cover letter. Stony Brook University is an equal opportunity/affirmative action employer.

  • Postdoc Position: Theoretical Microbial Ecology, Michigan State U
    • SMB Digest Vol 15, Issue 15 - April 15, 2015

      Two postdoctoral positions are available in the Klausmeier lab at Michigan State University's Kellogg Biological Station to develop trait-based models for complex microbial communities. We will study the evolution and ecology of syntrophic networks and competition in variable environments, and develop computational tools for trait-based modeling. Experience with ecological and evolutionary modeling, adaptive dynamics, stochastic spatial simulations, bifurcation theory, and Mathematica and background in microbial ecology are beneficial but not required.

      Both positions are for one year initially, renewable for a second year depending on performance and continued funding. Start date is as soon as possible after June 1, 2015. Interested applicants should email a CV, a brief statement of research interests and accomplishments, and the names and contact information of two references to Christopher Klausmeier (klausme1@msu.edu). Review of applications will begin May 1 and continue until filled.

      See and for more info on the lab and KBS, and email if you have questions.

  • Postdoc Position: Dengue Simulation Modeling at U of Notre Dame
    • SMB Digest Vol 15, Issue 14 - April 8, 2015

      A candidate for a postdoctoral research position is sought for the Perkins Lab in the Department of Biological Sciences at the University of Notre Dame. Research will focus on the development, validation, and application of individual-based models of dengue transmission with a high degree of detail and realism at the relatively fine spatial scales that characterize dengue transmission. This modeling work will be performed in conjunction with data sets and field studies from dengue-endemic areas and will focus on questions of highly applied significance related to the evaluation and deployment of novel interventions.

      Desirable qualities of candidates include (1) a Ph.D. in Mathematics or Applied Mathematics, Engineering, Epidemiology, Biostatistics, Computer Science, or another relevant field; (2) strong programming and software development skills, preferably in C++ and R; (3) experience conducting applied research based on mathematical models and simulations; (4) and background and/or interest in epidemiology and infectious disease dynamics.

      Salary will be competitive and commensurate with skills and experience, benefits will be provided, and support is available for travel to conferences and to visit field sites as appropriate. Funding is also available to provide computer programming support through Notre Dame's Center for Research Computing, which has a strong track record in individual-based modeling of vector-borne disease transmission.

      For further information, please email Alex Perkins (taperkins@nd.edu) with a statement of interest, a CV, and the names of and contact information for three references. Applications will be considered until the position is filled, but for priority consideration an initial expression of interest is encouraged by no later than Friday, April 17.

  • Postdoc Position: Synthetic Biology, Wageningen U
    • SMB Digest Vol 15, Issue 13 - April 1, 2015

      Postdoc position in Synthetic Biology from Wageningen University. All the info can be found at:

      http://www.wageningenur.nl/en/Jobs/Vacancies/Show/Postdoc-in-Synthetic-Biology.htm

  • Postdoc Position: Whole-cell Modeling, Mount Sinai (NYC)
    • SMB Digest Vol 15, Issue 13 - April 1, 2015

      Postdoctoral Fellow, Senior Scientist, or Software Engineer in whole-cell modeling.

      The Karr lab in the Institute for Genomics & Multiscale Biology at the Mount Sinai School of Medicine is seeking talented, ambitious individuals to develop cutting-edge dynamical models of human and bacterial cells. Despite the explosion of experimental data, we do not comprehensively understand how phenotype arises from genotype. Our approach is to develop computational models which predict how behavior emerges from the molecular level by integrating diverse data into a single model. Our goal is to use models to make medicine more precise and personalized by predicting disease progression and drug responses. We are also using our models to engineer bacteria. Our research is highly interdisciplinary involving computational modeling, software engineering, data visualization and curation. We have close collaborations with several experimental groups to build and test our models.

      Responsibilities. The candidate will be responsible for developing human and bacterial whole-cell models for precision cancer medicine and synthetic biology. This will include expanding the scope of whole-cell models, incorporating new sources of high-throughput genomic data, and improving the accuracy of whole-cell models. The candidate will work closely with experimental cancer collaborators at Mount Sinai, as well as with Luis Serrano's laboratory at the Center for Regulatory Genomics in Barcelona, Spain.

      Desired skills/experience. The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply.

      - Deep experience in dynamical and genome-scale modeling, software engineering, data visualization, and databases;
      - Strong knowledge of biology, physics, mathematics, and computation;
      - Several years experience in computational systems biology is a plus;
      - Excellent object-oriented programming skills in Python, MATLAB, and JavaScript;
      - Ability to learn new skills and concepts;
      - Excellent oral and written communication skills; and
      - Abilities to work independently and within a team effort.

      Compensation & Benefits. Compensation will be commensurate with experience and education. All employees are eligible for medical, dental, and health insurance. Subsidized housing is available for postdoctoral fellows.

      How to apply. Please send a cover letter indicating your research and career goals, a CV, and 2-3 letters of reference to Jonathan Karr (karr@mssm.edu).

      More information. Please visit our website (http://research.mssm.edu/karr/join.html) or contact Jonathan Karr (karr@mssm.edu).

  • Postdoc Position: Spatiotemporal Modeling of..., U of New Mexico
    • SMB Digest Vol 15, Issue 12 - March 25, 2015

      The University of New Mexico Spatiotemporal Modeling of Cell Signaling Center (STMC) is searching for a postdoctoral researcher with experience in computational biologist and modeling dynamical systems. Preference is given to the applicant that is a skilled programmer (C++, Fortran, Matlab). The individual should be comfortable with mathematical thinking, and have a sound instinct for molecular and cellular biology. The position functions as a key component within the STMC with an ambitious project seeking to build large dynamic spatialtemporal models of cell signaling networks. Contact Prof. Jeremy Edwards (jsedwards@salud.unm.edu)

  • Postdoc Position: Modeling Population Genetics for..., NCSU
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      Postdoc: Modeling Population Genetics for Suppression of Mosquito-Vectored Diseases North Carolina State University, with Fred Gould and Alun Lloyd

      PROJECT DESCRIPTION: Dengue is a mosquito-vectored disease that affects over 100 million people each year. With funding from the NIH, FNIH, and W. M. Keck Foundation, we have developed a set of mathematical models ranging from simple to complex, aimed at assisting the design and deployment of novel approaches for suppressing transmission of dengue by its major mosquito vector, Aedes aegypti. We are especially interested in evaluating the potential utility and risks associated with using genetically engineered, selfish genetic elements to drive genes into mosquito populations that render them incapable of transmitting dengue fever or decrease mosquito density. Our new work also extends to models relevant to suppressing malaria.

      New developments in molecular genetics promise to increase the efficiency of building gene drive systems with novel properties. The postdoc in this position will build a set of simple to complex models to examine the expected dynamics of these gene drive systems in mosquitoes and other taxa.

      The most detailed model that we have developed simulates the population dynamics and population genetics of Ae. aegypti in a city on the Amazon river, Iquitos, for which there are rich data sets on both mosquito dynamics and dengue epidemiology. An accompanying epidemiological model is currently under development. The goals of two other postdocs in our group are to expand the mosquito model and the human epidemiology model to encompass the entire city of about 400,000 people. The postdoc in this new position will also collaborate with the other postdocs to use these detailed models to test gene drive systems.

      In addition to working on model development and analysis, the person in this position will collaborate in an interdisciplinary research group composed of mosquito ecologists, disease epidemiologists, molecular biologists, biomathematicians, ethicists, and scientists from disease- endemic countries. The person in this position will have the opportunity to visit Iquitos to better understand one of the systems being modeled. Desirable skills include the ability to program in C++ or knowledge of a related programming language, and training in evaluation of mechanistic models.

      To apply: email a cover letter and CV to Fred_Gould@ncsu.edu and alun_lloyd@ncsu.edu

  • Postdoc Position: Mathematical Modeling of Dengue Virus..., NCSU
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      Postdoc: Mathematical Modeling of Dengue Virus Epidemiology North Carolina State University, with Fred Gould and Alun Lloyd

      PROJECT DESCRIPTION: We are searching for a postdoc interested in working on two NIH-funded projects that will build, test and refine stochastic, spatially explicit, simulation models that link insect population dynamics and genetics with human disease epidemiology. We are developing a city- scale model for the transmission of dengue virus, utilizing rich entomological, epidemiological and human movement data sets from a research collaboration focused in Iquitos, Peru. A major goal of the work is to predict the impacts of various interventions (such as conventional mosquito control, vaccines, and evolution-based novel transgenic mosquito management methods) on dengue.

      The incumbent will lead modeling efforts to further develop and test the epidemiological component of our model and integrate that model with the entomological model. We are also interested in building simple spatial and non-spatial, deterministic models as heuristic tools for better understanding basic principles, but we are not looking for applicants who are only interested in working with simple, generic models.

      An important part of these projects involves field experiments and epidemiological studies by our collaborators in Peru to acquire data that will inform the structure and parameterization of the models, and a large- scale mosquito control study to provide data against which model predictions will be tested. The person in this position will have the opportunity to travel to Peru to become more familiar with the epidemiological and entomological work at the field site.

      The funding for this postdoctoral position is through two NIH research grants. There will also be opportunities to work with students and faculty involved in NC State's Center for Genetic Engineering and Society (http://research.ncsu.edu/ges) and in the Research Training Group on Mathematical Biology (http://rtg.math.ncsu.edu) which focuses on questions relating to parameter estimation for biological models. Much of the work is part of a collaboration with researchers at Emory, UC Davis and Notre Dame.

      Qualifications: Training in ecological or epidemiological modeling and experience with development of computer simulation models. Experience in C++ would be highly desirable, as would be statistical skills.

      To apply: email a cover letter and CV to Alun_Lloyd@ncsu.edu and fred_gould@ncsu.edu

  • Postdoc position: HIV epidemiology, BC CDC & U of British Columbia
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      Postdoc position: HIV epidemiology, BC Centre for Disease Control and U of British Columbia

      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 be extended to a range of other testing and prevention interventions for this population.

      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 and community agencies 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 the Sex Now Survey, 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 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.

      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 Thompson by April 17th, 2015. Email: Kimberly.Thomson@bccdc.ca

  • Postdoc Position: In Viral Dynamics and Immune System..., LANL
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      POSTDOCTORAL RESEARCH ASSOCIATE POSITION IN VIRAL DYNAMICS AND IMMUNE SYSTEM MODELING, Theoretical Biology and Biophysics Group, LOS ALAMOS NATIONAL LABORATORY, Alan Perelson and Ruy Ribeiro

      Summary: We are offering a postdoctoral level position to pursue research in mathematical and theoretical biology, with an emphasis on problems in viral dynamics and immune system modeling. Our group's interests span a wide range from basic immunology, cell and molecular biology to treatment of viral infections. We develop models in collaboration with experimental scientists that generate new insights into the dynamics of viral infections, the immune response and virus-immune system interactions. We have standing collaborations with many experimental immunologists and clinicians, and help them develop new experiments, interpret their data and generate new hypotheses about the biology. Much of our current work and available data involves hepatitis C infection, HIV/SIV infection, and influenza infection although we also have projects involving other viruses such as West Nile virus. We are very interested in helping to find a cure or vaccine for AIDS and optimal drug therapy for HCV.

      Skills: We are looking for enthusiastic scientists with mathematical and statistical skills, and a strong interest in immunology and/or viral dynamics. Preference will be given to candidates with research experience in the core areas of the group's research; a track record of publications; and commitment to work to the high LANL standards, including attending required training. The candidate should have good programming skills, good working knowledge of one or more mathematical or statistical packages (e.g., Mathematica, MatLab, R, ...) and excellent English (both written and oral).

      Education: A PhD degree within the last 5 years (at the date of appointment). The specific subject of one's PhD degree is not restrictive, but usually a PhD in applied mathematics, statistics, computer or computational science, or mathematical biology is appropriate. A person who has held a PhD degree for more than 5 years is not eligible for a postdoctoral position at Los Alamos National Laboratory.

      Benefits: Los Alamos National Laboratory offers a generous and comprehensive benefits package and current salary guidelines start at ~US$73,000, with adjustments for experience and time since PhD. This position is initially for two years, with the possibility to renew for a third year. We are always interested in hearing from excellent candidates, who may be considered for special Laboratory Fellowships. For more general information about the postdoctoral program at Los Alamos, please visit the Laboratory's web pages at http://www.lanl.gov, or the Postdoctoral Program web pages at http://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php.

      Application Procedure: For initial consideration for this position and more details about the scientific areas of research, send an e-mail including your CV and brief statement of interest to asp@lanl.gov and ruy@lanl.gov. We will only reply to those candidates whose applications we are interested in pursuing further. After initial screening, transcripts and 3-4 letters of recommendation may be requested, followed by an interview (preferably at LANL).

      This position is open from March 18, 2015 until filled; subject to funding availability and eligibility for employment. Only the Laboratory's Human Resources Department can make an offer of employment. Start date is negotiable. Los Alamos National Laboratory is an equal opportunities employer, and all interested parties are encouraged to apply.

  • Postdoc Position: Infectious Disease Dynamics, Harvard U
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      The Program for Evolutionary Dynamics at Harvard University welcomes applications for a postdoctoral fellow to work in the field of infectious disease modeling with Dr. Alison Hill and Professor Martin Nowak. We are seeking a motivated and creative PhD-level scientist with experience applying mathematics to biological systems. The successful candidate would be invited to work on established projects, as well as be encouraged to pursue independent research of mutual interest.

      A major focus of the group is on an NIH-funded effort to develop mathematical models to predict the outcomes of new, potentially-curative treatment strategies for HIV infection. We also use viral dynamic models to understand outcomes of antiretroviral therapy, the risks of drug resistance, the influence of patient adherence, and the potential impact of new drug delivery mechanisms. We regularly work with data from experimental collaborators testing new therapies in vitro, in animal models, and in patients. More generally, we are interested in factors influencing the evolution of infectious diseases and the emergence of drug resistance, both at the individual and population levels. Our work is conducted in close collaboration with experimental and clinical researchers.

      More information about the position can be found at: https://academicpositions.harvard.edu/postings/6053

      Inquiries can be directed to Alison Hill (alhill@fas.harvard.edu)

  • Postdoc Position: Computational Structural Biology, UC Davis
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      POSTDOCTORAL POSITION ANNOUNCEMENT

      A postdoctoral position in Computational Structural Biology is available at the Department of Molecular and Cellular Biology at the University of California Davis (UC Davis) starting on September 1st, 2015.

      The aim of this NIH funded project is to develop mathematical, statistical and computational methods to analyze chromatin conformation capture (CCC) data, with a focus on 3D genome architecture and topology. The postdoctoral fellow will join an interdisciplinary team of researchers in Mathematical and Computational Biology, Biostatistics and Bioinformatics at UC Davis and at the University of California, San Francisco (UCSF).

      We are seeking applicants with a PhD in Mathematics, Statistics, Computational Biology or related field. The ideal candidate will have a strong background in Computational Biology and/or Computational Topology/Geometry, and/or Statistics. Excellent writing and oral communication skills are expected.

      The initial appointment is for one year, with possible renewal to a second year. Interested applicants should send CV and three references to Prof. Javier Arsuaga (jarsuaga@ucdavis.edu). Applications will be considered until the position is filled.

      The University of California is an affirmative action/equal opportunity employer.

  • Postdoc Position: Systems Biology of G..., U of North Carolina
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      Postdoctoral Position: Systems Biology of G Protein Signaling
      The University of North Carolina, Schools of Medicine and Arts and Sciences

      Heterotrimeric G proteins serve as a signaling nexus in a myriad of normal and diseased cell states. Many extracellular signals (e.g. hormones, peptides, cytokines, lights) are perceived by 7-­transmembrane receptors, often referred to as G protein coupled receptors (GPCRs), that stimulate the activation state of the cytoplasmic G protein complex. Interestingly, the majority of non-­animal cells (protists, fungi, plants, amoeba and many others) bind GTP without the need for a GPCR. This recent discovery opens up new opportunities to find novel mechanisms that regulate G protein signaling. This project tightly integrates experimental investigations with mathematical modeling to discover and characterize novel signaling motifs that regulate pathway activity in the glucose sensing system of Arabidopsis. The project is a continuation of a well established collaboration between the labs of Drs. Alan Jones and Tim Elston (Fu, et al 2014 Cell 156:1084-­1095). The ideal applicant will have experience with deterministic and stochastic modeling methods, and a willingness to learn the experimental techniques needed to test their mathematical models. Interested individuals should contact Tim Elston (timothy_elston@med.unc.edu) and Alan Jones (alan_jones@unc.edu).

  • Postdoc Position: Mathematical Modeling and..., U of Minnesota
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      Funding is available for a Postdoctoral Associate/Research Associate position in the School of Mathematics at the University of Minnesota- Minneapolis, beginning as early as May 1, 2015.

      The position involves mathematical modeling and analysis of pattern formation in developmental biology, particularly in early development of Drosophila. Applicants should have a Ph.D. in Mathematics, Science or Engineering and have experience in mathematical modeling and computational analysis in biology, biophysics or medicine. The degree is required by the beginning date of appointment. Knowledge of Fortran or C/C++ is also required.

      The immediate group consists of eight researchers who are analyzing models of cell movement in single and multicellular systems, stochastic effects in pattern formation, and signal transduction and pattern formation in developmental biology. In addition, the School of Mathematics and the Institute for Mathematics and Its Applications at Minnesota provide a very rich research environment for a post-doctoral fellow.

      The salary will be commensurate with qualifications and experience. The initial appointment will be for one year, with continuation contingent upon performance and availability of funding. Please submit your CV, research statement and arrange for three letters of recommendation. Also, any offer will be contingent upon a successful background check. Letters could be loaded on the mathjobs website or be sent to: Professor Hans Othmer, School of Mathematics, 127 Vincent Hall, University of Minnesota, 206 Church St SE Minneapolis, MN 55455.

      The University of Minnesota is committed to the policy that all persons shall have equal access to its programs, facilities, and employment without regard to race, color, creed, national origin, sex, age, marital status, disability, public assistance status, veteran status, or sexual orientation.

  • PhD & Postdoc Positions: Bioinformatics, Graz U of Technology
    • SMB Digest Vol 15, Issue 8 - February 25, 2015

      Open PhD and Postdoc positions in Bioinformatics

      Deadline: 28 February 2015

      Contact: Prof. Dr. Mario Albrecht, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria, info@mario-albrecht.at

      Further information at http://www.medbioinf.at and below!

      Note: Please send your application both to info@mario-albrecht.at and informatik@tugraz.at citing the reference number 7090/15/001.

      Open full-time paid bioinformatics PhD student position for molecular network research until 28 February 2015, for details see http://wwww.medbioinf.at and as follows:

      Molecular networks and proteins are involved in many biological processes. Therefore, we aim at the development and application of computational network methods for the analysis and prediction of molecular interactions and their structural and functional changes due to sequence mutations. The mutations might occur in disease genes or bacterial and viral genomes. Based on the analysis results, we also want to develop innovative bioinformatics approaches for modeling pathways and their changes as well as for the design and prioritization of follow-up experiments.

      Open full-time paid bioinformatics postdoc position for integrative omics research until 28 February 2015, for details see http://bioinf.tugraz.at/images/Postdoc.pdf and as follows:

      Cancer is the leading cause of death and involves altered lipid metabolism. The rate-limiting enzyme in triacylglyceride degradation, the adipose triglyceride lipase (ATGL), might not participate only in lipid mobilization and degradation, but also in signaling pathways by generating lipid signaling molecules. Therefore, we aim at the large-scale elucidation of the functional role of ATGL in cancer progression using different omics strategies combined with computational approaches. Novel bioinformatics methods are developed for analyzing the data of molecular proteomics and metabolomics networks related to lipolysis in cancer.

  • Postdoc Position: Histology-based modeling.., Moffitt Cancer Center
    • SMB Digest Vol 15, Issue 8 - February 25, 2015

      Post-doc position: Histology-based modeling of cancer treatment, Integrated Mathematical Oncology, Moffitt Cancer Center, US

      Applications are invited for a postdoctoral researcher position in our computational lab with a focus on modeling tumor response to various anticancer treatments integrated with biomedical imaging. The successful candidate will work under the mentorship of Dr. Kasia Rejniak (http://labpages.moffitt.org/rejniakk) on interdisciplinary projects conducted in collaboration with local experimentalists based at Moffitt and/or USF. These projects will couple computational modeling based on biophysical principles with extensive use of biomedical images (that include fluorescent microscopy images and immunohistochemical pathology images) for model calibration and validation. Success of these projects will lead to a better understanding of how the tumor microenvironment influences anticancer drugs and imaging agents penetration through the tumor tissue, and how to predict patients response to anticancer therapies based on tumor biopsies.

      To be considered, a PhD in applied mathematics, scientific computing, computer science or similar computational field is required. Priority will be given to candidates with research experience in biology-based computational modeling and a proven interest in using biomedical imaging data for quantitative comparison with in-silico results. The ideal candidate will have a history of demonstrated creativity, be highly motivated to work as a team member within an interdisciplinary group of researchers, have good communication skills and experience in writing publications for peer-reviewed scientific journals. The candidate must have strong programing skills (C/C++/Java/Fortran/Matlab) and ability to visualize, analyze and compare numerical and experimental data.

      The offered position is within the Integrated Mathematical Oncology (IMO) Department of the Moffitt Cancer Center and Research Institute. IMO integrates mathematicians, computer scientist, and physicists, together with imaging specialists as well as clinical and experimental oncologists to develop novel approaches for understanding, treatment and prevention of cancer.

      This position is offered for one year, and can be renewed for additional years upon candidate performance.

      Interested applicants should send an application letter, detailed CV with recent publications, and a statement of research interests directly to Kasia.Rejniak@moffitt.org. Please, include the names and email addresses of three mentors who can provide recommendation letters.

  • Postdoc Position: Mathematical Modeling..., China Medical U, Taiwan
    • SMB Digest Vol 15, Issue 7 - February 18, 2015

      Postdoctoral Positions on Modeling and Analysis of Infectious Diseases in Taiwan

      Positions: 1-2 Postdoctoral fellow positions to work on mathematical modeling and analysis of infectious diseases epidemiology in China Medical University, Taichung, Taiwan.

      Background needed: Strong potential in Mathematics, Statistics, Ecology, Physics, Biostatistics, Epidemiology, or related modeling/computation degree. Prior experience in modeling of infectious disease epidemiology or ecology is preferred but not absolutely required.

      Salary: NT$55,000-75,000/month depending on qualification, plus 1.5 month bonus each year (1 US$ is about 31 NT$); full airfare reimbursement for foreign postdoc fellow and spouse, full health insurance coverage.

      Term: Positions are 1-3 years, subject to renewal of grant.

      Time: Starting anytime.

      Location: Department of Public Health, China Medical University, Taichung, Taiwan (Website: http://www.cmu.edu.tw or http://english.cmu.edu.tw/). Taichung is a city of 2 million in the central part of Taiwan, two hours south of Taipei. (See http://www.tccg.gov.tw/eng/index.htm)

      To apply: Send CV, statement of research interest, and 2-3 references to Prof. Ying-Hen Hsieh, email address: hsieh@mail.cmu.edu.tw. (Webpage: http://mail.cmu.edu.tw/~hsieh/)

      To receive full consideration, please send application as soon as possible.

  • Postdoc position: Computational Modelling..., Newcastle U, UK
    • SMB Digest Vol 15, Issue 7 - February 18, 2015

      Postdoc position in Computational Modelling for Psoriasis (School of Computing Science, Newcastle University, UK).

      A postdoc position is available at Newcastle University in the PSORT project (http://www.psort.org.uk/) under the supervision of Dr. Paolo Zuliani. PSORT is funded by a 5m GBP Medical Research Council (UK) grant, and is led by the University of Manchester, in collaboration with Newcastle University, King's College London, Queen Mary-University of London, University of Liverpool and University of Glasgow. We seek to better understand the determinants of response of psoriasis to biologic therapies, and we collaborate with our academic partners and industry to develop a clinical test to predict response and thereby rationalise and optimise patient care in a cost-effective manner. The main aim of this position is to build an agent-based computational model of psoriatic epidermis which will enable prediction of therapeutic efficacy. The work will involve significant interaction with the Dermatological and Skin Research Group, Institute of Cellular Medicine, led by Prof. Nick Reynolds.

      The position is for two years, full time, but other arrangements might be available. Applications deadline: 9 March 2015.

      For informal enquiries please contact directly Dr. Paolo Zuliani (paolo.zuliani@ncl.ac.uk) or Prof. Nick Reynolds(nick.reynolds@ncl.ac.uk).

      To apply visit: https://www15.i-grasp.com/fe/tpl_newcastle02.asp?s=4A515F4E5A565B1A&jobid=56378,7276569814&key=88139735&c=616276832546&pagestamp=setelnjidgcpcdomau

Faculty and other positions

(Click on job title for additional information.)
  • Position: Senior Health Econ./Modeller, Public Health England
  • Lectureship: Mathematical Biology, St Andrews U
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      The University of St Andrews seeks to appoint an outstanding candidate to a lectureship position in Mathematical Biology within the School of Mathematics & Statistics.

      Following the appointment of Professor M. Chaplain to the Gregory Chair of Applied Mathematics, the School is investing in a new research group in mathematical biology. The successful candidate will join the School at an exciting time and be part of shaping the future development, strategy and growth of the new research group. A further lectureship appointment will be made in early 2016. There is an expected commitment to interact with colleagues in the Schools of Biology and Medicine and the James Hutton Institute (http://www.hutton.ac.uk), and develop interdisciplinary collaborative research projects in the areas of mathematical/computational biology, medicine and theoretical ecology. It is also intended that the lecturer will be involved in the development and running of the new MSc degree programme in Mathematical Biology, which will commence in September 2016.

      The successful candidate should therefore have a PhD in Mathematics (or cognate discipline), and have either an outstanding research record in Mathematical Biology, or display a clear potential to work at the highest level within the field. They must also demonstrate enthusiasm for genuinely inter-disciplinary research.

      Informal approaches concerning this appointment may be made to: Prof Nik Ruskuc, Head of School, mathshead@mcs.st-andrews.ac.uk

      Salary: 38,511 - 47,328 GBP per annum

      Full details:
      http://www.jobs.ac.uk/job/ATV305/lecturers-in-mathematics-and-mathematical-biology-kc1856/
      https://www.vacancies.st-andrews.ac.uk

  • Position: Biomathematician, Inst Genomics & Multiscale..., NY
    • SMB Digest Vol 15, Issue 19 - May 13, 2015

      Position: Bioinformatician
      Description: The Icahn School of Medicine at Mount Sinai in NY is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Asthma and Allergy group at the Institute for Genomics and Multiscale Biology (http://icahn.mssm.edu/departments-and-institutes/genomics). The successful applicant will join a team that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases. Members of the team work closely with Dr. Supinda Bunyavanich and Dr. Eric Schadt.

      Responsibilities:
      -Analyze next generation sequencing data, including whole genome, RNA-Seq, 16S rRNA, metagenome, and methylation data.
      -Develop and implement statistical methods and software to analyze next generation sequencing data for genetic risk, disease mechanism, and drug response. Projects will include network construction and mining.
      -Integrate and translate genetic, genomic, eQTL, structural, and clinical data into novel diagnostics, therapeutics and disease mechanisms.
      -Maintain complex next generation sequence and array datasets linked to clinical data.
      -Communicate progress with PI regularly and contribute to the success of the research team.
      -Develop and maintain productive collaborations within Mount Sinai and with outside researchers in academia and industry.
      -Publish and present novel research findings in academic journals and conferences.
      -Some supervision of trainees and technical staff may also be required.

      Requirements:
      -Outstanding programming skills in R, Perl, Python, Java, C++, and Unix shell scripting.
      -Excellent track record of analyzing next generation sequencing data. Experience in network analysis a plus.
      -Demonstrated knowledge of statistics, statistical genetics, bioinformatics concepts, methods and tools. Familiarity with genomic data tools, repositories, and databases.
      -Strong attention to detail and solid analytical skills.
      -Ability to work hard and independently while contributing to the team effort and adhering to deadlines.
      -Excellent oral and written communication skills with track record of productive collaborations.
      -Demonstrated ability to work concurrently on several projects, and good understanding of analytic complexities to do independent research as well as assist other researchers.

      Education:
      MS or PhD in bioinformatics, computer science, computational biology, genomics, or a related field.

      If interested, please submit a letter of interest and CV to Dr. Supinda Bunyavanich at supinda.bunyavanich@mssm.edu

  • Lecturer Position: Statistical Genomics, U of Melbourne
    • SMB Digest Vol 15, Issue 15 - April 15, 2015

      LECTURER IN STATISTICAL GENOMICS, (UP TO 2 POSITIONS)
      School of Mathematics and Statistics, Faculty of Science, The University of Melbourne, Australia,

      Salary: AUD$89,955 - AUD$106,817 p.a. plus 17% superannuation

      The School of Mathematics and Statistics is seeking to expand its expertise in Statistical Genomics. In particular, the successful applicants will contribute to the research agenda of the school around Statistical Genomics which is under the broad leadership of Professor D Balding. Two appointments may be made to suitable candidates. The successful applicants are expected to undertake methodological research and supervise research students in the development and application of cutting-edge statistical methods for applications in the life sciences, preferably in statistical genetics/genomics or related areas of computational biology. He/she should have a commitment to teaching and will be expected to teach statistics subjects to life sciences students, as well as to students of mathematics and statistics.

      The University of Melbourne provides a wide range of opportunities for exciting research collaboration. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and among the greatest internationally. The recent appointment of Prof David Balding to a joint position between Mathematics/Statistics and Biosciences and the establishment of a new Centre for Systems Genomics, expected to be fully operational by the end of 2015, form part of new initiatives to strengthen the involvement of statisticians in the advances being made in genomics and computational biology, that the successful applicant will have the opportunity to contribute to and benefit from. Several new appointments have also strengthened the Mathematical and Computational Biology research group within the School, providing further opportunities for collaboration and cross-fertilisation of research ideas.

      Employment Type: Up to 2 full-time (1.0 FTE) continuing positions available

      nquiries only to: Professor David Balding Tel +61 3 8344 3730. Email: david.balding@unimelb.edu.au

      Close date: 10 May 2015

      For position information and to apply online go to http://hr.unimelb.edu.au/careers go to 'Job Search and Job Alerts', click on the relevant option ('Current Staff' or 'Prospective Staff') and search under the job title or job number 0033578.

  • Infectious Disease Modeler: U of Bern, Switzerland
    • SMB Digest Vol 15, Issue 15 - April 15, 2015

      Position in infectious disease modeling (80-100%), University of Bern, Switzerland.

      You will work together with epidemiologists, infectious disease modelers and statisticians on two projects funded by the Swiss National Science Foundation and Swiss Cancer Research. The projects are investigating the impact of screening, vaccination, and rapid diagnostic tests on the control of sexually transmitted infections in Switzerland, Europe and internationally.

      Duties and responsibilities:
      - Develop, parameterize, and analyze mathematical models of infectious disease dynamics
      - Collaborate with co-investigators in Switzerland, the Netherlands, UK, Australia
      - Contribute to publications in peer-reviewed journals and conference presentations

      Qualifications and skills:
      - Masters degree or PhD in biology, physics, mathematics, statistics, epidemiology or another relevant discipline
      - A high level of skill and independence in working with transmission models or other population dynamic models
      - Strong programming skills, preferably using R

      The post is available immediately, with negotiable starting date, and offered for three years. The salary is on the scales of the Swiss National Science Foundation.

      The ISPM at the University of Bern offers an international and interdisciplinary environment. It encourages independence and flexible working models.

      For further information on the position advertised, please contact Dr. Christian Althaus, christian.althaus@ispm.unibe.ch or Prof. Nicola Low, nicola.low@ispm.unibe.ch.

      Please send your application including a letter of motivation and curriculum vitae to Human Resources administration: natalie.studer@ispm.unibe.ch.

  • Job: Mathematical Modeller, Antibiotic..., Public Health England
    • SMB Digest Vol 15, Issue 11 - March 18, 2015

      Job: Mathematical Modeller - Antibiotic Resistance, Public Health England

      An exciting opportunity has arisen for a mathematical modeller to develop innovative models exploring the dynamics of antimicrobial resistant (AMR) organisms, and to use these models to evaluate control strategies in order to inform policy in this high priority area. There are few public health issues currently of greater importance than antimicrobial resistance in terms of impact on the health of society. The rise in AMR bacteria, coupled with a lack of existing antibiotics (and with none expected in the near future) means that the number of infections that are untreatable is ever increasing. In 2011 the Chief Medical Officer recommended that antibiotic resistance be put on the government's national risk register of civil emergencies, while the World Health Organization has stated that resistance to antibiotics could bring "the end of modern medicine as we know it".

      This post will contribute to the innovative research required to identify and rigorously evaluate solutions, in order to inform health policy. The research conducted by the post-holder will improve our understanding of the epidemiology of healthcare associated infections and AMR organisms, their transmission and control in hospital and community populations. The research is expected to provide practical and clinically relevant insights to directly inform national policy.

      The post-holder will gain valuable experience working closely with clinicians, epidemiologists and microbiologists as well as modellers, economists, statisticians and bioinformaticians, and policy colleagues both at PHE and collaborating institutions.

      This post provides an ideal opportunity to gain experience in infectious disease research to inform policy. Public Health England's Centre for Infectious Disease Surveillance and Control (CIDSC) in Colindale, in NW London, is an internationally-renowned centre of excellence for expertise, reference and research, surveillance and epidemiology in relation to human health. It is an excellent place to conduct public health research that can help shape policy both nationally and internationally.

      Employer: Public Health England
      Department: Statistics, Modelling and Economics
      Location: Colindale
      Salary: 37,454-45,769 GBP pa
      Closing Date: 30/03/2015

      For more information please visit: https://www.jobs.nhs.uk/xi/vacancy/61e0eadf80d327c090d3cb829b2febee/?vac_ref=913702883

  • Statistician Postion: Sea Level Rise Program, Climate Central
    • SMB Digest Vol 15, Issue 10 - March 11, 2015

      Statistician - Sea Level Rise Program

      Job Description

      Climate Central is seeking an energetic, talented statistical scientist who wants to make a tangible, global impact with targeted research. Strong candidates will be fluent in extreme value statistics, spatial statistics and Bayesian approaches. The statistician will sit within Climate Central's nationally recognized sea level rise program, and provide critical research and analysis for our U.S. and soon-to-launch global programs.

      Climate Central is a growing nonprofit and non-advocacy organization dedicated to researching and publicizing key findings on our changing climate and its impacts. Our scientists and communicators work together to reach the most people possible using all the tools at our disposal.

      Climate Central's sea level rise program is a recognized leader in both climate science and communication. Our peer-reviewed research has been downloaded more than 20,000 times; major news outlets including the New York Times, USA Today, AP, NBC, CBS and NPR have frequently featured our findings; we have testified in the U.S. Senate; and our web tools are winning practical use from NGOs to local governments.

      Responsibilities

      - Develop and improve local flood risk projections, nationally and globally, integrating sea level rise forecasts and storm surge statistics and projections
      - Develop and improve methods for interpolating projections in space
      - Play key role in research on error in digital elevation models
      - Write and contribute to peer-reviewed papers, plus reports for wider audiences
      - Provide general statistical research support

      Qualifications

      - PhD in statistics or equivalent education/experience
      - Expertise in extreme value statistics, spatial statistics and Bayesian approaches
      - Facility with big data, data acquisition and data wrangling
      - Proficiency with R, geospatial packages/GIS, Matlab ideal; C++ or python a plus
      - Strong communication skills, and the ability to work well both independently and in close collaboration within a small team, are essential

      Location

      The location for this position is Climate Central's Princeton, N.J. headquarters.

      Compensation

      Compensation is competitive, with very generous benefits.

      Diversity

      Climate Central strongly encourages diverse candidates to apply. We are an Equal Employment Opportunity employer and as such do not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

      Apply

      Please send your cover letter, resume and salary expectations to iweinberg@climatecentral.org, with the exact subject line, "Statistician" (no quotes). Due to the volume of employment applications and queries received, Climate Central is unable to respond to each application individually. Applicants will be contacted directly if selected as a candidate.

      Search will close when successful candidate is recruited to fill this position.

  • Position: Disease Ecologist/Modeler, EcoHealth Alliance
    • SMB Digest Vol 15, Issue 9 - March 4, 2015

      POSITION TITLE: Disease Ecologist/Modeler

      EcoHealth Alliance seeks a Disease Ecologist/Modeler with a track record of high quality papers that analy Above all, a passion for understanding the process of zoonotic disease emergence is key. The position is based at EcoHealth Alliance in New York City and will involve some international travel.

      RESPONSIBILITIES

      Reporting to the President this position will:
      -Work collaboratively with staff to design and execute analytical projects to understand the process of zoonotic disease emergence including examination of the roles of human contact networks, land-use change, agricultural intensification, wildlife trade, and a diverse range of socio-economic, demographic, and environmental drivers of disease emergence.
      -Collaborate/lead on designing field studies of zoonotic disease emergence from bats, rodents, and primates as well as the role of human behavior in disease emergence and analyze the resulting data.
      -Engage with EcoHealth Alliance scientists and partners on our USAID-funded PREDICT project as well as on federally funded programs on SARS CoV, AI, Ebola, Nipah, RVFV, and other emerging diseases.
      -Manage staff, liaise with international partners, and report proactively to federal funders.
      -Help set institutional direction as well as identify new opportunities and help to secure funding for them.

      QUALIFICATIONS

      -Ph.D in Ecological of Biological Sciences and a strong analytical skillset
      -Postdoctoral experience in disease ecology/modeling
      -Publications demonstrating analytical skills and grant writing experience
      -Experience with traditional (GLM) and novel methodologies (machine learning and Bayseian analysis), knowledge of ecological niche models or SIR models, and experience with R
      -Enthusiasm for understanding disease emergence
      -Proven success in fundraisin
      -Positive attitude towards solving complex problems
      -Creativity to identify analytical strategies and proxy datasets for novel diseases
      -Experience managing staff
      -Strong sense of team spirit and cultural sensitivity
      -Excellent written and verbal communication skills
      -Fluency in English

      EcoHealth Alliance is an equal opportunity employer offering competitive salary and comprehensive benefits including coverage for health, dental, vision, and a 403(b) pension plan. For more information about EcoHealth Alliance, please visit http://www.ecohealthalliance.org

      HOW TO APPLY: Send an email a single attachment labeled with your first and last name only ("first last.pdf") in PDF format containing with (a) a cover letter, (b) CV, and (c) three references to jobs@ecohealthalliance.org with "DISEASE ECOLOGIST 2015" in the subject line. Emails without the subject line or with multiple attachments will not be received. No formal text is required within the body of your email, since only the attached document will be evaluated. All inquires will receive an automatic response confirming receipt. Applicants will be evaluated and only appropriate candidates will be contacted.

  • Selected NIH Intramural Research and other Openings, March 2015
    • SMB Digest Vol 15, Issue 9 - March 4, 2015

      Tenure-Track Epidemiologists, NIEHS (deadline: March 9)

      The National Institute of Environmental Health Sciences (NIEHS), part of the National Institutes of Health (NIH), located in Research Triangle Park, North Carolina, is recruiting for one or more tenure-track epidemiologists. Successful candidate(s) will be expected to develop an outstanding, investigator-initiated research program in any of the following areas: reproduction, pregnancy outcomes, pediatrics, early origins of disease, life-course epidemiology, adult health/chronic disease, or other areas of environmental epidemiology. Biologically-based epidemiological research (including genetics, epigenetics, metabolomics, microbiomics, and biomarkers) and primary data collection are encouraged. Successful candidates should plan to work both independently and as part of multi-disciplinary or collaborative teams. The Branch provides an academic atmosphere with excellent support. Funds are available for research and support staff, including fellows, programmers, and field workers. The Branch has several large, ongoing cohort studies with biological samples that can serve as platforms for additional research. There are opportunities for adjunct appointments at nearby universities and for mentoring pre- and post-doctoral fellows. Position(s) will be filled at the tenure-track level. Time to tenure will vary depending upon research accomplishments; an accelerated timetable is possible for more established exceptional candidates. Salary is 'hard money' and will be commensurate with experience and qualifications of the candidate. Federal benefits apply. Information on the NIEHS Epidemiology Branch can be found at http://www.niehs.nih.gov/epi.

      Candidates should have a doctoral degree and a record of accomplishment in epidemiology, including a strong publication record and research experience. Applications from women and under-represented minorities are strongly encouraged. Interested persons should submit one combined PDF of their curriculum vitae and a two-page statement of research interests and goals, and also arrange for 3 letters of recommendation to be sent to Ms. Katherine Fine atdir-appls@niehs.nih.gov citing your name and Vacancy Announcement DIR 15-1 in the subject line. We will begin evaluating complete applications on March 9, 2015. Applications will continue to be accepted until vacancies are filled.

      The NIH is dedicated to building a diverse community in its training and employment programs. HHS and NIH are equal opportunity employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

      Also see: 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/

  • Faculty Position: Lectuer/Senior Lecturer/Reader: U Glasgow
    • SMB Digest Vol 15, Issue 8 - February 25, 2015

      Lecturer/Senior Lecturer/Reader in Mathematical Biology/Ecology
      University of Glasgow-College of Science and Engineering, School of Mathematics & Statistics, Ref: 009926

      Salary: 33,242-37,394/40,847-47,328/48,743-54,841 GBP per annum

      The University of Glasgow, established in 1451, is a member of the UK's Russell Group of leading universities. The University is committed to enhancing its position as one of the world's great broad-based research- intensive universities. As part of an exciting initiative to strengthen the interdisciplinary research currently underway between the School of Mathematics & Statistics and the life sciences institutes within the University of Glasgow, the School of Mathematics and Statistics will make a key appointment to a post in Mathematical Biology/Ecology.

      It is expected that the postholder will pursue internationally leading research in Mathematical Biology/Ecology which will contribute to this exciting agenda.

      The university has a vibrant Mathematical Biology community which includes the University of Glasgow Boyd Orr Centre for Population and Ecosystem Health (http://www.gla.ac.uk/boydorr), a grouping of epidemiologists, biologists, statisticians, veterinarians, physicists, ecologists and mathematicians with a focus on applying quantitative approaches to biological problems.

      Informal enquiries may be directed to the Head of School: Professor Adrian Bowman (0141 330 2975, hos@maths-stats.gla.ac.uk)

      Information about the School and all its research groups is available from the School website at http://www.gla.ac.uk/schools/mathematicsstatistics/

      Apply online through the apply online link below. Closing date: 13th March 2015

      The University is committed to equality of opportunity in employment. The University of Glasgow, charity number SC004401.

  • Faculty Position: Lecturer in Applied Mathematics, U of Canterbury
    • SMB Digest Vol 15, Issue 7 - February 18, 2015

      Lecturer in Applied Mathematics, School of Mathematics and Statistics

      Continuing (tenured), and full-time.

      Applications are invited from suitably qualified candidates for a continuing position at the level of Lecturer (comparable to Assistant Professor in the US system) in the School of Mathematics and Statistics. In this position, you will contribute to the vibrancy of the School's research culture and will be expected to undertake a range of teaching responsibilities, principally in mathematics and engineering mathematics, from beginning undergraduate to supervising research students. The successful applicant will have a strong research record in a numerical or computational area of mathematics that complements the School's existing research profile.

      You should have a Ph.D. in Mathematics or another highly quantitative discipline, or have an equivalent qualification.

      The School of Mathematics and Statistics is a strong, forward-looking School, dedicated to excellence in teaching and research. For more about the School, please visit: http://www.math.canterbury.ac.nz/

      The successful applicant should be able to take up the position by 1 September 2015.

      The closing date for this position is: 16 March 2015 (NZ time)

      For information about the range of benefits in joining UC please visit us online at: http://www.canterbury.ac.nz/joinus

      Applications are submitted online and should include a cover letter, curriculum vitae with research publication details, a one-page statement of research and teaching interests, and the names and contact details of three referees.

      Should you wish to email any additional attachments or have queries in relation to the application process, please forward these to the HR/Recruitment Coordinator, Rochelle Golby, rochelle.golby@canterbury.ac.nz

      Further information about this role can be obtained by contacting the Head of School, Professor Jennifer Brown, jennifer.brown@canterbury.ac.nz

      Internal candidates should apply via the Careers option in Employee Self-Service: https://ucpeople.canterbury.ac.nz

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