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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
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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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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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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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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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. Develop analytical and finite element (FE) models to investigate the extent and sources of nonlinear behaviour in LGSs. 3. Develop novel control strategies to stabilise LGS shape, orbit & attitude
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
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, you will develop a finite-dimensional state observer incorporating piezoelectric sensors. This will involve applying modal decomposition and H-infinity filter design methods to create an effective
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microstructure to achieve desired mechanical properties and stress states. The use of finite element based software (e.g. ABAQUS, DEFORM, QForm or similar) for process simulation (e.g. forging, heat treatments