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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel the atomic-scale competition between copper and silicon at grain boundaries and oxide interfaces, delivering
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guidance and navigation, data-driven modelling of spacecraft and environmental dynamics, mission planning and operations, and on-board learning in resource-constrained environments. You are strongly
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-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, with part of your time spent on-site at Model Health (Leuven, Belgium) for the
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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strategy. Your qualities We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a postdoctoral researcher with a curiosity-driven record who works at
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multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal
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industry come together. Working at our faculty means being part of a dynamic, international environment where both staff and students are driven by curiosity—not only to expand fundamental knowledge