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of mountains in the global hydrological cycle? And in what happens to downstream water supply when mountains change? Do you like working with numerical models? Then this PhD might be your next step! A large part
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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description Internal erosion and piping are among the main failure mechanisms of clay–sand layered dikes and remain important challenges in flood risk management. Reliable numerical models can improve our
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-Doctoral candidate to join our research team. Your research focus will be on the experimentation of real-time robust model predictive control schemes for induction welding. As a first step you will be
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forward models and inverse-scattering approaches for reflection-mode electron imaging, using simulations and experimental reconstructions to understand the capabilities and limitations of the technique. As
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mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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relevance to society and the built environment sector. Your research will combine co-creation, prototyping, experimental testing and modelling. Together with residents, manufacturers and other stakeholders
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analytical and problem-solving skills, with the ability to work independently. Experience with numerical simulation, scientific programming or electromagnetic modelling is valuable. The ability to work
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of