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of efficient control strategies and promoting continuous improvement, to speed up production and ensure product quality. This research could revolutionize Philips’ production by integrating advanced Artificial
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of efficient control strategies and promoting continuous improvement, to speed up production and ensure product quality. This research could revolutionize Philips’ production by integrating advanced Artificial
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for Psycholinguistics. Does this sound like you? You should have, or shortly expect to obtain, a PhD in a relevant field (e.g. linguistics, psychology, biology, cognitive science, neuroscience, artificial intelligence
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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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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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
solid background in citizen science and/or societal engagement - both in theory and in practice. You have recently completed your PhD (or already have a date planned for your defence) and are a strong
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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a
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associated with the spin-in of applied artificial intelligence to the space system domain; Designing and conducting representative capture-the-flag exercises, and in-orbit cyber exercise and technology
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 21 August 2025 Apply now Do you want
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio