Sort by
Refine Your Search
-
is to develop next-generation GPU-based simulation methodologies in OpenFOAM for predicting thermal runaway initiation and propagation at the cell- and module level. Particular emphasis will be placed
-
methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
-
for application to nuclear, or similarly complex, thermal energy systems. Experience with open-source CFD codes such as OpenFOAM or Nek5000, and/or commercial CFD codes such as STAR-CCM+, ANSYS or COMSOL. Knowledge
-
languages and computational fluid dynamics software packages such as OpenFOAM and COMSOL Multiphysics. Expertise in reservoir engineering and phase-field modeling is also desirable. Interested candidates
-
, or water resources in general. The applicant must have prior experience with computational modeling and flume experiments. Experience with CFD software such as OpenFOAM is preferred, but not required. To be
-
a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
-
fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity
-
applicant is expected to have a background in CFD modeling (preferably in OpenFoam) and design of alkaline electrolyzers, a strong academic background, and good English communication skills. Who we are Both