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This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the
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in a 5th generation district heating network. The key weakness of most models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior
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2 Sep 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Engineering » Electronic engineering Engineering » Materials engineering
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Vacancies PhD position on Memristive Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing
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models currently available and in use is their oversimplified description of physical, dynamic and nonlinear behavior. The principal goal of the PhD project is to develop component models with a greater
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systems, focussing on the inclusion of thermal aspects. You can leverage a large body of existing research and software for the efficient simulation of complex geometrically nonlinear mechanical elastic
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic