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relevant data generation, analysis, and pre-/post-processing. Knowledge of principles and techniques in computational mechanics and mechanics of materials, with a focus on finite element analysis of large
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of the project team. Key Skills & Experiences This project will require previous expertise in computational mechanics (preferably finite element methods - with analysis being undertaken in open-source code MoFEM
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on the application of computer-aided design (CAD), mathematical modelling, finite element analysis (FEA), and structural optimisation. You should also demonstrate a student-centred teaching focus with experience and
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experience in use of Finite element analysis and its application, familiarity with electric machines Contact: h.ghadbeigi@sheffield.ac.uk, m.i.boulis@sheffield.ac.uk Keywords: Manufacturing, Sheet forming
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. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
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Application/Interview Strong background in semiconductor device design and/or simulation, including photolithographic mask layout Essential Application/Interview Experience of 3D finite element modelling (FEM
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
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finite element analysis Structures and construction material lab testing You will have gained this experience and expertise through engagement in practice, or through your substantial proven teaching and
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential