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and carry out finite element method (FEM) simulations. Our developments focus on higher efficiencies, more cost-effective manufacturing processes and materials, improved long-term stability and new
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with benefits. Qualifications 3 or more years Mechanical design experience focused on cost and manufacturability (Required) Experience in finite element analysis and mechanical simulation (Required
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assessment (LCA) and circular economy principles. Methodology The PhD project will combine: - Numerical modeling: Finite element analysis (FEA) to simulate soil-foundation interaction, degradation, and load
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mathematics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding skills Knowledge and experience with fracture and/or phase-field modeling and/or
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for success: A PhD in Mechanical Engineering, Materials Science, Physics, or a related field. Experience in computational mechanics, finite element analysis, and numerical simulations. A strong background in
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for downhole milling tools. Conduct Finite Element Analysis (FEA) of cutting mechanics under downhole conditions. Support design and validation of prototype tools using the company’s bespoke instrumented test
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are developing AI that can map welding processes in the automotive industry based on simulation data. We are looking for a student assistant with an interest in machine learning and finite element simulation. Your
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systems. Experience with NQA-1 quality assurance requirements for nuclear facilities. Knowledge of AWS welding codes and standards. Familiarity with finite element analysis (FEA) software, such as ANSYS
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skills. You’ll have strong skills in Finite Element Analysis (e.g. Abaqus, ANSYS), an understanding of machining processes, and a proactive, collaborative approach to problem-solving. The University
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printing, rapid prototyping, Finite element analysis (FEA), Multiphysics analysis, Design for composite materials, material science Preferred skills/experience areas include: Finite element analysis