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Required Skills: • Numerical (finite element) and experimental mechanics. • Mechanical modeling of hyperelastic materials. • Data analysis and programming (preferably Python). Internal Application form(s
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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background in computational methods, including finite element analysis and other advanced modelling techniques, would be advantageous. The successful candidate will be expected to deliver research-informed
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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transient experimental data in turbocharger labs; develops setups and data acquisition interface for complex turbocharger experiments; employs frequency-domain finite-element method and time-domain 3D
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Python and/or object-oriented programming Basic knowledge of the theory and methods in the Finite Element Method (FEM) or similar methods is advantageous Good language skills in English, German is
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, mechanical CAD, PCB design tools, and finite element electromagnetic analysis software. Experience creating engineering documents, reports, and technical publications, including drawings, procedures, and
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signal analysis Computational acoustics methods such as finite element, boundary element analysis or other computational methods development Flow excitation mechanisms such as gust response and turbulent
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for 3D stress distributions. Knowledge of computer software for finite element simulations Specific Requirements • PhD degree in mechanical engineering related to the specialization in metal science
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high-speed rotating equipment. Finite Element (FE) modeling/analysis. Expertise with 3D CAD modeling drafting, and product data management (PDM) systems. Proficiency with SolidWorks. Experience creating