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generates clean energy that can power future HPC systems. You will design, implement and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within
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Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind
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in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and conducting experimental studies in a mechanical engineering laboratory
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, modelling and simulation, CFD, control and experimental investigation would be particularly useful. Candidates close to completion of their PhD will initially be appointed in the junior research training zone
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information to specialists and within the wider academic community. Experience in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and