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the next-generation multi-physics simulation environment for hypersonics. To support these goals, the University seeks applicants with significant experience in computational fluid dynamics, methods
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, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific
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, or computer engineering, or a closely related field. Required Related Experience The successful candidate will have expertise in high-speed computational fluid dynamics with interest in turbulence and
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, Applied Physics, Process Technology, Civil Engineering or a closely related discipline) You have received training in multiphase flow physics, numerical methods, and computational fluid dynamics (CFD
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in the area of Computational Fluid Dynamics. Familiarity with response surface modeling and optimization, is a plus. Experience using commercial codes like ANSYS-FLUENT is desirable. Qualifications
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backgrounds in fluid dynamics, combustion, heat transfer, and solid mechanics. Position Status Full Time Posting Number 26FA0856 Posting Open Date 10/12/2026 Posting Close Date 01/29/2027 Qualifications Minimum
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systems still face major challenges when operating in fluid environments such as air or water. Unlike ground robots, aerial and underwater robots exhibit dynamics that are strongly coupled with
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of computational fluid dynamics (CFD). Mastery of applied mathematics and numerical methods. Resolution and discretization of partial differential equations (PDEs) and the algorithm applied to the simulation
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for one professor in Fluid dynamics at GSSI Where
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project