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Field
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fundamentals Technical writing Data analysis MATLAB, Excel, PowerPoint, CAD Preferred skills/experience areas include: Finite element analysis Experimental test conduct Acoustics Dimensional tolerance stack-up
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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project will combine advanced materials testing and finite element modelling to explore hydrogen-material interactions, particularly in ferritic and austenitic steels. You’ll investigate how these materials
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modeling and simulation (e.g., finite element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload
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Element Analysis for thermo-mechanical fluid-structure interaction analysis. Ability to demonstrate good collaborative skills, including the ability to work well with other divisions, laboratories, and
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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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fundamental, and expert knowledge of CAD and finite element design is absolutely needed (preferably Creo Parametric and Ansys). A strong understanding of accelerator systems or similar complex, large-scale
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
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emerging fields. Courses will leverage expertise with computer-aided design, engineering and prototyping, Finite Element Analysis (FEA), and applications of AI and machine learning. Encouraged to develop and