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, applied physics, or a closely related subject. You should enjoy building things and be prepared to work across mechanics, materials and electronics. Experience with microfabrication, finite element analysis
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will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project
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production, greater predictability is required, which can be gained by utilising the complementary strengths of empirical modelling, finite element analysis, and artificial intelligence. By combining
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with applications to quantum sensing, computing and communications. Topics will include: Sequential and universal inference: adaptive measurement and stopping rules controlling type-I error with finite
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damage development as a function of fatigue loading. The models will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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must have practical experience in computational modelling (Finite Element analysis, MATLAB). You must have knowledge of Advanced Solid Mechanics theory, including advanced Elasticity and Plasticity
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classification. The work will involve analytical studies, computer simulations, and finite element (FE) analysis, alongside experimental development and validation. Entry requirements The minimum entry requirement
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
positions for general criteria for the position. Preferred selection criteria Experience in solid mechanics and non-linear finite element analysis. Experience in optical measurements related to experimental
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product