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PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements and Their Ethica
the participating institutions. The programme has the aim of achieving breakthrough research in at the intersection of ethics, philosophy, technology / engineering and social sciences, and to position its consortium
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track record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Computer Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics
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research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and
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of the key challenges that our world faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In
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. Selection criteria Master's degree in a relevant discipline e.g. environmental or sustainability science, industrial ecology, environmental engineering etc. Good mathematical background Knowledge and interest