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focus on developing CFD codes/modules/tools for the new electrochemical processes in the project, but you will have some latitude to study a variety of scientific topics chosen through mutual agreement
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Multiphysics Co-Simulation Engineer - KTP Associate (Full Time, Fixed term up to 24 months duration)
at Harper Adams University. The Associate will develop and validate physics-based simulation models, write high-performance C++ and Python code to integrate simulation and control environments, build and
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contribute to advanced aerodynamic simulation within the EPSRC programme grant REMODEL, focused on enabling high-fidelity, industrial-scale CFD workflows. Based at Swansea University, you will work on the
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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, oxygen, and construction materials. Depending on your background, interests, and expertise, your research may involve one or more of the following topics: Computational Fluid Dynamics (CFD
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candidates with a passion for fluid mechanics, laboratory work, and CFD, as well as a willingness to work at the interface between simulation and experimentation. Be part of change Development and
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such as additive manufacturing or etching Usage of commercial CFD software Generative design Adsorption processes Heat exchangers Coding in languages such as Python and C++ Numerical optimization. Selection
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for the production of complex porous structures B.CAD modelling and CFD simulation of TPMS structures and other geometries applicable to chromatography. C.Production and physical, morphological and
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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Fluid Dynamics (CFD), including mesh generation, model preparation, model validation, running simulations, and result analysis, development of in-house (dedicated) 0D and 1D reduced-order models