Applications are invited for a postdoctoral researcher in the Department of Applied Mathematics at the University of Colorado-Boulder. 

Priority will be given to applicants with expertise in one or more of the following areas: scientific machine learning, weak form-based methods, equation learning, reduced order modeling, operator learning, parametric differential equations, randomized numerical linear algebra, and optimization (specifically multi-fidelity, stochastic, derivative-free and/or PDE-constrained). Potential application areas include collective motion, plasma physics related to fusion, cell migration, scientific data compression, and mathematical epidemiology.

Please see the following websites for more information about potential research topics:
https://amath.colorado.edu/faculty/becker/
https://www.colorado.edu/amath/david-bortz
https://www.siam.org/publications/siam-news/articles/the-weak-form-is-stronger-than-you-think/

Applicants may apply electronically at https://jobs.colorado.edu/jobs/JobDetail/?jobId=60515, and review of applications will begin on December 15, 2024.