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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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application but must be completed and defended no later than November 2025 (position start date is January 2026); PhD in political science, international relations, security studies, computer science, data
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dynamical systems. The position is part of the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a PhD student
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this postdoc with the conditions and support to advance in their academic and/or professional career. This research is funded by the EU as part of the Horizon Europe programme. Resources are secured
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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seek a highly driven and talented individual with a passion for planetary health and a commitment to driving change. You should bring: A PhD in a relevant discipline (e.g., public health, environmental
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the top Computer Science departments in the Netherlands. The institute focuses its research on three themes: Data Science, Digital Security and Software Science. More specifically, you will be based
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logic-based methods); non-standard computational models (e.g., quantum and bio-inspired computation); security and privacy (e.g., homomorphic encryption and anonymity); computational geometry, graph