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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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: Completed doctoral or PhD studies in technical sciences Excellent knowledge in the field of computational mechanics and experience in the development of corresponding finite element codes, including
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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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printing, rapid prototyping, Finite element analysis (FEA), Multiphysics analysis, Design for composite materials, material science Preferred skills/experience areas include: Finite element analysis
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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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computer aided design, finite element analysis and manufacturing software. Expertise in material science, ideally relevant to impact protection and mitigation applications. A high level of practical ability
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related to the finite element model and the developed metamodels; supporting the management and coordination of the working group, namely in the preparation of reports and deliverables, in monitoring
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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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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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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also