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. For both positions we expect: A strong background in thermodynamics, fluid mechanics, and heat transfer. Solid scientific programming skills, for example in Python or MATLAB. A documented publication
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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AM processes for metallic systems, knowledge and experience in heat transfer/fluid dynamics/structural mechanics through the applications of computational and statistical methods. The position is also
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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Large Eddy Simulations, turbulence research, and the Julia programming language is an advantage but not required. Interest in the intersection of solid/fluid mechanics. Ability to work independently
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and Rolls-Royce plc. This is a multi-physics problem spanning multi-phase fluid dynamics, heat transfer, solid mechanics and materials. The tools will be applied to real turbomachinery components and
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vessels, sealing systems, high-pressure fluid systems, and mechanical testing fixtures. To Apply: Applications must be made online at https://yourfuture.sdbor.edu . South Dakota Mines is committed
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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integration of electrodes, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment