About this role
Job Summary
Postdoctoral Research Associates in Scientific Machine Learning The Department of Mathematics at Purdue University invites applications for two (2) Postdoctoral Research Associate positions in the research group of Professor Yue Yu. The positions are supported by two DARPA-funded projects and offer the opportunity to work at the interface of applied mathematics, scientific machine learning, and computational mechanics, in close collaboration with partner institutions.
This is an academic-year (AY) appointment with up to 13 weeks of summer research support, for total annual compensation of $55,000 - $65,000, commensurate with qualifications, experience, and the amount of summer support provided. The anticipated start date is January 1, 2027, or as soon as possible thereafter. The initial appointment is for 12 months and is renewable subject to satisfactory progress and the availability of funding.
Position 1 : Digital twins for cardiovascular physiology. This project aims to develop a mechanism-preserving digital twin for hemorrhagic shock. The postdoc will develop neural-operator-based reduced-order models and uncertainty quantification methods, coupled with high-fidelity fluid-structure interaction simulations, and will help personalize the models using clinical and experimental data. Position 2 : Operator learning for singular and nonlocal models. This position focuses on neural-operator-based discovery of singular transformations. The postdoc will develop operator learning methods that discover singular and nonlocal operators from experimental and molecular dynamics data, with applications to material fracture, microstructured materials, and real-time digital twins.
A Ph.D. in applied or computational mathematics, mechanical or biomedical engineering, computer science, physics, or a related field is required by the start date. Preferred qualifications include experience in one or more of the following: scientific machine learning or operator learning, numerical methods for PDEs, nonlocal or fractional models, fluid-structure interaction, uncertainty quantification, and high-performance or GPU computing. Strong programming skills (e.g., Python with PyTorch or JAX) and a record of research publications are expected.
Application Requirements Please submit through MathJobs https://www.mathjobs.org/jobs/list/29487 a cover letter indicating which position(s) you are interested in, a CV with publication list, a research statement, and at least three letters of recommendation. Review of applications will begin immediately and continue until the positions are filled. Questions may be directed to Professor Yue Yu ( [email protected] ).
A background check is required for employment in this position. Purdue University is an equal opportunity/equal access university. Education 0 Experience 0 FLSA Status Exempt