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the University, will provide meaningful support for your teaching and scholarship as elements of your personal and career development. We encourage you to grow professionally, and we support a healthy work-life
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techniques such as finite element modelling. For example, plastic flow of steel is measured experimentally and the data embedded in the model to handle aspects where fundamental plasticity models struggle
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phase-field methods within finite element frameworks with advanced experiments in simulated nuclear reactor water environments to predict material lifetime. The project includes materials characterization
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. The work combines material modeling using advanced plasticity theories and nonlocal micromechanics-based fracture models in a finite element framework to predict material degradation and failure. The project
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implant positioning influence stresses in the bone and risks such as wear, impingement, and dislocation. By combining innovative motion analysis techniques with finite element modelling, the research will
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accounts for the observed microstructural effects, validated through comparison with available experimental data and implementable in finite element simulations for engineering applications. Where to apply
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include the development of finite elements methods, as well as inverse design strategies based on deep-learning and Neural Networks approaches. The latter will then bring the project to the experimental
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Engineering or a closely related discipline. You will have demonstrable experience in one or more of the following areas: Finite Element Analysis, Computational Fluid Dynamics, Discrete Element Method, Multi
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experiments on structural frames, members, and components Conducting thorough investigations utilizing finite element analysis Assessing seismic performance through macro modeling of structures Disseminating
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological