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. Proficiency in CAD/CAM and finite-element modeling is required, alongside disciplined verification/validation practices and the ability to translate prototypes into reliable, user-ready systems. Demonstrated
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good research practices Basic proficiency in data analysis or computational tools relevant to the project Preferred Qualifications: Experience with finite element methods, molecular biology techniques
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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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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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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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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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. 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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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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are looking for a strong candidate to work in a team on the interdisciplinary StochMan project that integrates elements of stochastic analysis, geometry, partial differential equations, and computational
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and