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Yue Yu
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Postdoctoral Research Associate in Scientific Machine Learning Purdue University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two DARPA-funded postdoctoral positions with academic-year appointment, up to 13 weeks of summer research support, and total annual compensation of $55,000-$65,000.
Deadline
Jan 31, 2027
Country
United States
University
Purdue University
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About this position
The Department of Mathematics at Purdue University is seeking two postdoctoral research associates in the research group of Professor Yue Yu. The positions sit at the interface of applied mathematics, scientific machine learning, and computational mechanics, and are supported through DARPA-funded projects in collaboration with partner institutions.
One project focuses on digital twins for cardiovascular physiology. The postdoc will help develop a mechanism-preserving digital twin for hemorrhagic shock, using neural-operator-based reduced-order models, uncertainty quantification, and high-fidelity fluid-structure interaction simulations, with an emphasis on personalizing models with clinical and experimental data.
The second project centers on operator learning for singular and nonlocal models. This work develops neural-operator-based discovery of singular transformations and operator-learning methods that infer singular and nonlocal operators from experimental and molecular dynamics data, with applications to material fracture, microstructured materials, and real-time digital twins.
These positions are embedded in a research environment that combines mathematical theory, computational modeling, data-driven methods, and application-driven collaboration across disciplinary boundaries. The appointments are for one year initially and may be renewed subject to progress and funding.
Funding details
Two DARPA-funded postdoctoral positions with academic-year appointment, up to 13 weeks of summer research support, and total annual compensation of $55,000-$65,000.
What's required
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 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 such as Python with PyTorch or JAX and a record of research publications are expected.
How to apply
Apply through MathJobs and submit a cover letter stating which position(s) you are interested in, a CV with publication list, a research statement, and at least three letters of recommendation. Direct questions to Professor Yue Yu by email.
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Professors
Professor at Purdue University
United States
Research Interests
Statistics
Applied Mathematic
Computational Mechanics
Mechanical Engineering
Molecular Dynamics
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.