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, 2025. We are looking for: The applicant should perform active research in numerical analysis of finite element or finite volume methods for coupled problems in one of the application areas of the group
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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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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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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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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-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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systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge