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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also
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assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
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-reviewed journals and presenting at professional conferences. • Demonstrate proficiency in experimental methods, and numerical/computer modeling and analysis, including areas such as finite element
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in computational mechanics and a strong background in solid mechanics and the finite element method. Candidates should have a demonstrated experience in teaching undergraduate and/or graduate courses
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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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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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professional experience to include: Non-linear finite element modeling and simulation Design and testing of roadside safety devices Preferred Qualifications LS-DYNA, HyperMesh, Solidworks, computer programming
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; Defect nucleation; Density functional theory; Embedded atom method; Finite element modeling; Molecular dynamics; Multiscale modeling; Nanoindentation; Nanomechanics; Eligibility Citizenship: Open to U.S
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using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
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composite material response or material signal interactions using finite element, analytical or numerical approaches. • Experience with scientific data analysis programming languages such as or Python