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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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supporting research projects • Ability to work in a team or independently • Good interpersonal skills Preferred Qualifications • Have an EIT (Engineer-In-Training) Designation • Experience with finite element
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characterization, mechanical testing, 3D microstructural analysis, finite element simulations, atomistic modeling, and thermal transport measurement techniques to advance mechanistic understanding and predictive
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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-aided design (CAD) experience and demonstrated proficiency. Finite-element analysis (FEA) experience and demonstrated proficiency. Required Documents Cover letter summarizing your relevant experience and
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mechanics Computational modelling and finite element analysis Active dissemination of the results in scientific articles and participation in national and international conferences is integral to the job
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. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills
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understanding of enrichment devices using analytical methods and computational tools such as finite element analysis (FEA). The Senior Electric Motor Researcher will provide research and development (R&D
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hydrodynamic load and structural finite element model against experimental results, investigating uncertainties and sensitivities. Assess structural static and dynamic performance under 50-year return period
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in English Solid knowledge in finite element analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks