Position Summary
The Center for Hierarchical and Robust Modeling of Non-Equilibrium Transport (CHaRMNET), housed in the Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University, seeks to hire a postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io).
This is a one-year, benefits-eligible position that is potentially renewable on an annual basis contingent upon satisfactory performance and availability of funding.
The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse of dimensionality in the simulation of fusion energy systems. The curse of dimensionality refers to the fact that traditional methods scale as O(Nd), where N is the number of degrees of freedom per dimension d. Foundational kinetic models often have N∼256 and d≥6, making direct numerical simulation intractable with traditional approaches. Through innovative work combining machine learning with new paradigms for direct solvers of high-dimensional partial differential equations, members of CHaRMNET aim to overcome this challenge.
The focus of this position is on structure-preserving, machine-learning–accelerated scientific computing for plasma physics applications. In particular, the project involves developing data-driven collisional kinetic models and numerical schemes that preserve physical structures such as conservation laws and entropy dissipation. The target application is enabling scale-bridging kinetic models for fusion systems. This work encompasses both research in numerical methods for partial differential equations and machine learning methods for physics-based modeling.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate -Mathematics, Physics, or related field.
Minimum Requirements
Completion of a Ph.D. in mathematics, physics, or a related area is required before Fall 2026.
Desired Qualifications
A successful candidate will have experience with multiscale modeling, high-order methods, or fast solvers and their application to multidimensional PDEs. Relevant expertise includes, but is not limited to, kinetic equations, statistical physics, Discontinuous Galerkin methods, weighted essentially non-oscillatory methods, acceleration methods such as fast convolution, preconditioning of implicit solvers or multigrid techniques, and low-rank tensor methods for high-dimensional PDEs. A strong background in numerical analysis and multiscale modeling is essential.
Required Application Materials
Applicants MUST submit their application materials for the computational physics Research Associate job posting on Mathjobs.org at https://www.mathjobs.org/jobs/list/27553 to be considered.
A complete application includes a vita, a research statement the indicates their experience in any of the four-focus areas, and at least 3 letters of recommendation.
Special Instructions
For more information, please contact Professor Andrew Christlieb if you wish to know more about this posting (christli@msu.edu). Review of applications will begin on December 15, 2025.
Review of Applications Begins On
12/15/2025
Website
https://www.mathjobs.org/jobs/list/27553
MSU Statement
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.
