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Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
into the CFD and radiative codes in a tractable manner that could be used for future studies of entry systems. Field of Science: Interdisciplinary Advisors: Brett Cruden Brett.A.Cruden@nasa.gov (650) 604-1933
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interpersonal skills and ability to work collaboratively with others Project management experience Experience with CFD and CAD software Understanding of sCO2, H2 and NH3 process and energy generation systems (i.e
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., EnergyPlus, Modelica, CONTAM, CFD, etc.) Prior work or research experience related to building automation systems and sequences of operations is highly desirable. Proficiency in scientific programming, data
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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, aerodynamic, and aeroelastic testing. Develop and apply advanced numerical models (e.g., FEA, CFD) to simulate wind effects on structures. Analyze and interpret experimental and numerical data, and disseminate
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reacting flows. A novel aspect of the project is the use of highly perturbed laminar flame simulations to inform CFD modelling of turbulent combustion in lean hydrogen-air mixtures. Experimental work will be
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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mass transfer, and process engineering Extensive experience in modeling and simulation and ideally knowledge of CFD software (e.g., Ansys Fluent, OpenFOAM, COMSOL) Very good programming skills