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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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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 Are you passionate about advancing Machine Learning by integrating
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contribute to the development of innovative, physiology/ machine learning-driven clinical solutions and decision support tools for critically ill patients, focusing on cardiovascular and respiratory monitoring
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students who would like to teach our first-years students and help them to integrate in the university. Do you want to make the difference for our students? All first-year students will be enrolled in
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Administration is searching for an Assistant Professor in Political Science specialized in international peace and security. The envisaged candidate is to teach courses in peace and conflict studies and
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preferably have teaching experience with positive evaluations. You have an international research network, a record of high-quality publications, and the potential to acquire research funding. As an Assistant
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to teach students during their second/third year of
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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(HIMS), in close collaboration with industrial partner BOR-LYTE and Smart Industry testbeds. This position offers a unique opportunity to combine inorganic chemistry, spectroscopy, machine learning, and
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems