Suo Yang
2 months ago
Postdoctoral Associate in CFD Modeling of Multiphase Reacting Flows University of Minnesota in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Associate position; funding details, salary, and benefits are not specified in the post.
Deadline
Dec 31, 2026
Country
United States
University
University of Minnesota

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About this position
Prof. Suo Yang at the University of Minnesota is recruiting a Postdoctoral Associate in CFD modeling of multiphase reacting flows. The project focuses on building a hierarchical multi-scale computational framework for coupled fluid, thermal, species, and interfacial transport phenomena.
The research spans micro-scale transport (drift-diffusion-convection, Nernst-Planck, Poisson formulations), meso-scale multiphase dynamics (Eulerian-Lagrangian tracking, phase change, phase equilibrium near active interfaces), and macro-scale optimization (parallelized 3D conjugate heat transfer models, channel geometry evaluation, and flow distribution manifold optimization).
Relevant study areas include Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Applied Mathematics, Computational Science & Engineering, Computer Science, and related CFD-heavy disciplines. The post emphasizes solver development, numerical methods for stiff PDEs, multiphase reacting flows, transport/chemistry coupling, and high-performance parallel computing.
Required qualifications include a PhD, experience with advanced CFD solver development, multiphase flow modeling, reacting-flow chemistry/transport source terms, strong programming skills (C++, Java, Fortran 90, Python, MATLAB), MPI, and open-source CFD customization (e.g., OpenFOAM, AMReX). A strong publication record and ability to supervise student projects are also requested. Desirable experience includes electro-hydrodynamics, non-equilibrium transport, diffuse-charge dynamics, 3D CHT, ML/AI, ROM, DA, and GPU programming.
International applications are welcome. The closing date is 2026-12-31. To apply, send a CV, transcripts, research statement, three selected publications, and reference contacts to [email protected].
Funding details
Postdoctoral Associate position; funding details, salary, and benefits are not specified in the post.
What's required
A Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Computational Science & Engineering, or a highly related engineering discipline with a strong emphasis on high-fidelity CFD is required. Applicants should have experience in advanced CFD solver development, algorithm improvement, and numerical methods for highly coupled stiff PDE systems; demonstrated expertise in multiphase flows (Eulerian-Eulerian or Eulerian-Lagrangian) and stiff chemistry/transport source terms in reacting flows; strong programming skills in C++, Java, or Fortran 90 plus Python or MATLAB; MPI-based high-performance parallel computing; and open-source platform customization such as OpenFOAM or AMReX. A strong first-author publication record, excellent English communication skills, self-motivation, ethical teamwork, and experience supervising undergraduate or graduate projects are also required. Desirable experience includes electro-hydrodynamics, non-equilibrium transport, diffuse-charge dynamics, 3D CHT, manifold optimization, ML/AI, ROM, DA, and CUDA/OpenACC.
How to apply
Prepare a detailed CV, undergraduate and graduate transcripts, a research statement, three best publications, and contact details for two or three references. Email the application materials directly to Prof. Suo Yang at [email protected] and mention CFD Jobs Database record #20102.
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