One postdoc position is available in Dr. Huan Lei's research group at the Department of Computational Mathematics, Science and Engineering at Michigan State University. The research project aims to establish accurate modeling of multi-scale dynamic systems relevant to meso-scale transport, non-Newtonian hydrodynamics, and kinetic transport processes. For such problems, the multi-scale and high-dimensional nature imposes a fundamental challenge; empirical models based on ad-hoc closure assumptions often show limitations. The research project is devoted to constructing machine-learning based models for such systems directly from the first-principle-based descriptions. In particular, we focus on developing numerical methods to learn reliable and numerically-stable models that faithfully entail the micro-scale interactions, retain physical interpretation, and respect physical constraints. The candidate is expected to have a background in applied mathematics, fluid dynamics, stochastic modeling, scientific computing, or related areas. Research experiences with multi-scale modeling, micro-scale simulation or model reduction would be a plus. The position starts in Fall 2023 (or earlier) for a full-time 1-year appointment with the possibility of renewal for additional years.

Applicants must apply through the MSU online system, http://careers.msu.edu/ and refer to posting number 830248. Typically, a fixed term research associate position is for two years and depends on availability of funds. Renewal for the second year is based on a performance evaluation. A third year is possible, subject to funding and satisfactory performance evaluations.