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high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability to present and publish results in peer-reviewed journal articles Preferred
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/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
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research activities including laboratory experiments, numerical modelling (FEM/CFD), and development of AI models to optimise drilling processes. Translate research into outcomes by building prototypes
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers