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) provide scalable tools to learn mappings between function spaces, which is particularly relevant when model outputs are fields and discretizations differ. Despite substantial progress, a key limitation
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and a MW scale greenhouse hub operated by Division Q. This PhD position is well suited for candidates eager to work at the intersection of nonlinear systems, optimal control, and energy systems
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-state model will be approximated using machine-learning surrogates and will be used for a real-time optimization, such that the plant operates optimally despite disturbances. The candidate will be part of
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different EU countries. All 15 PhD projects are within the overall theme of Silicon carbide on insulator (SiCOI) devices and integration for applications in classic and quantum optical telecommunication, and