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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree
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are seeking a Research Fellow to contribute to a project focused on Numerical Methods for McKean-Vlasov PDEs. Key Responsibilities: Develop Numerical Methods for McKean-Vlasov PDEs/Master equations Job
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life course research. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. The School
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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale
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is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least