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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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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing to the development of next-generation
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fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed spatiotemporal distributions of thermal variables, suffer from limited
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on physics-based computational modelling. Key activities include crystal-plasticity-based finite-element (CPFE) simulations, unit-cell and microstructure-resolved models, and the development of modelling
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materials, device designs, and operational modes for these bioelectronic implants. You will also develop and validate finite element models (COMSOL Multiphysics) to support the experimental work. The work is
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formulation, at a continuum-scale, of a suitable poro hydro-chemo-mechanical model to describe the above-mentioned phenomena and the numerical implementation of the same, within the LAGAMINE Finite Element code
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop