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? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a vacancy for an
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. The successful applicant will engage in computational analyses, and experimental validation including CFD and FEA, to understand and predict the flow behaviour and interface bonding during injection over-moulding
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to assist multiscale modelling for zero-excess solid-state batteries. The candidate is expected to be experience in mesoscale modelling (finite element, CFD, phase-field theory) for addressing scientific
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computational analyses, and experimental validation including CFD and FEA, to understand and predict the flow behaviour and interface bonding during injection over-moulding. They will work closely with leading
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goal. The Research Fellow will work under the supervision of the Surrey PI, Professor Jennifer Wen, to deliver Surry’s contribution to the project. The researcher will conduct CFD simulations to validate
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achievements within turbomachinery, Computational Fluid Dynamics (CFD), aero-thermodynamics of power and propulsion systems, heat and mass transfer, thermo-fluid systems simulation and programming. You will have
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to achieve the project goal. The Research Fellow will work under the supervision of the Surrey PI, Professor Jennifer Wen, to deliver Surry’s contribution to the project. The researcher will conduct CFD