41 algorithm-development-"St"-"St" PhD positions at Delft University of Technology (TU Delft)
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine learning is also desiered. TU Delft (Delft University
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society and development. Transformation is necessary for the steel sector to continue to be a relevant player in the Dutch and European economies; achieving ambitious environmental and social goals
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. This NWO-funded project aims to develop new theoretical and experimental frameworks to identify and characterize friction damping in assembled systems, bridging the gap between microscale friction phenomena
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD at TU Delft developing co-design methodologies for accessible
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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storage in our energy system? Contribute now to quantifying the economic impact of different technologies for heat storage. Job description In PUSH-IT we developed a unified framework for the combined
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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Are you enthusiastic about quantum physics and its foundations? Do you want to explore the transition from the classical to the quantum world while developing real-world applications in quantum sensing