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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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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
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mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial differential equations (PDEs) with uncertainties, and related areas
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
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factors: Knowledge of numerical modeling and finite element analysis tools for passive safety problems (e.g., LS-DYNA, MADYMO), with expertise in areas relevant to the project. Additional Information
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be an asset: Robot Operating System (ROS). Finite Element Analysis simulation. Opto-electro-mechanical Systems. Power electronics and electrical machines. Familiarity with AWS and MS Azure platforms
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deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs. •Applying inverse finite element modeling (FE modeling) for the multiscale mechanical characterization of cartilage