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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
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to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
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experimental results for both a digitally thermally activated polymeric metamaterial and a multiphase 3d printed metamaterial. Knowledge of viscoelasticity, fundamental solid mechanics, finite element analysis
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to isolate geometric features of interest for further dataset curation and training Develop tools which interface between the trained predictor / inference models and structural finite element model generators
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finite element models using LS-DYNA, OpenRadioss, or equivalent solvers to simulate skull fracture mechanics during impact scenarios Perform parametric studies for population-level analysis Develop
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations. This unique position combines advanced finite element
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-assembly), to macroscopic finite element analysis (strength, stiffness, fracture toughness). Experimental techniques (SEM, XRD, Raman, TGA) will validate the models, enabling robust predictions of composite
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated