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involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and emissions of low-carbon propulsion systems by further developing commercial/in-house codes and high-performance
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scalability of multi-scale and multi-physics simulation codes. Develop turbulent combustion modeling approaches for predictive computational fluid dynamics (CFD) simulations of combustion dynamics and emissions
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-physics simulation codes. The candidate will conduct multi-physics and multi-scale computational fluid dynamics (CFD) simulations for innovative internal combustion engines (ICEs) fueled with low/zero
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computational scientists to enhance the predictive capability for next-generation engine modeling code. Perform high-fidelity Computational Fluid Dynamics (CFD) simulations of turbulent combustion flows in gas
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complex systems such as in combustion, atmospheric processes, or in sustainable energy conversion/manufacturing processes. The project will support effort in one of the following areas: (a) Applications of
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simulations applied to internal combustion engine (ICE) modeling, by leveraging computational fluid dynamics (CFD) techniques, high-performance computing (HPC) resources, and by using and developing in-house
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Mechanical Engineering or related engineering field. Knowledge of internal combustion engines and engine testing. Knowledge of data acquisition systems and emissions equipment. Knowledge of prime mover
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combustion theory of operation. Knowledge of liquid and gaseous fuels for gas turbine applications. Experience in the use of ML softwares (TensorFlow, PyTorch, Julia, etc.) for reduced-order modeling and