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mechanical components optimized for structural integrity and cost efficiency using analytical and numerical modelling computer aided techniques such as Finite Element Analysis – ANSYS; selection and
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additive manufacturing, creating new solutions in process automation, and materials analysis for the application of advanced materials. The Research Scientist must have comprehensive experience in all main
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element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload management (e.g., Slurm) and cloud
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. Finite Element Analysis simulation. Opto-electro-mechanical Systems. Power electronics and electrical machines. Familiarity with AWS and MS Azure platforms. Web and desktop based graphical user interface
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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-assembly), to macroscopic finite element analysis (strength, stiffness, fracture toughness). Experimental techniques (SEM, XRD, Raman, TGA) will validate the models, enabling robust predictions of composite
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to isolate geometric features of interest for further dataset curation and training Develop tools which interface between the trained predictor / inference models and structural finite element model generators
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and hardware. Preferred Qualifications: Experience with solid modeling and finite element analysis codes as it relates to electromagnetic interactions of coil assemblies, the modeling of cryogenic
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will have a strong background in numerical analysis and computational mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial
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. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer-Aided Design (CAD), and Manufacturing (CAM) are introduced in the classroom and online and then reinforced