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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
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thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
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-based environment. You have an excellent command of English, both orally and in writing. Dutch language proficiency is considered a plus. Additional Information Benefits You will be appointed and paid as
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as a member of the IDLab research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab. You will develop novel ISAC-based collision avoidance
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collaborate with other researchers at IDLab. You will develop novel ISAC-based collision avoidance algorithms that exploit communication signals and their reflections to sense surrounding obstacles, nearby UAVs
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of extension based on your performance and the acquisition of additional funding. The ultimate objective is to complete your PhD within a four-year timeframe. The research will be based at campus Kulak in
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package, for the preparation of a doctorate, contains: We are looking for a full-time doctoral candidate for an interdisciplinary research project on the development of bio-cemented mycelium-based
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from extreme heat, testing system innovations (such as climate shelters, urban heat digital twins, nature-based solutions) across 11 European cities (Amsterdam, Zaragoza, Athens, Reggio Emilia) and 7
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advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
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Experience in simulating fluid mechanics problems using, e.g., COMSOL Experience in interdisciplinary research Experience in designing and building hardware solutions, e.g. using Arduino, Raspberry Pi, 3D