Postdoc Positions

We seek postdocs with a strong background in any of partial differential equations, numerical analysis, mathematical physics, physics-informed machine learning, and scientific computation, although all strong candidates with an interest in Data-enabled Model Order Reduction for Materials or Quantum Materials will be considered.

Please apply to the NSF supported Postdoc in Data-enabled Model Order Reduction for Materials and department supported Dunham Jackson Postdoc.