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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Application deadline: November 15, 2026 | Start date: 2027 The VIB Center for AI & Computational Biology (VIB.AI ) and KU Leuven are searching for a Principal Investigator to join their faculty
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team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate seamlessly, enabled by
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range of complex optimization problems. The ideal candidate holds a PhD in Operations Research, Computer Science, Applied Mathematics, or a related field, and has a strong background in mathematical
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) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
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& Uncertainty Quantification Numerical Simulation & Multiscale Methods Numerical Linear and Multilinear Algebra High-Performance Computing Control and Optimization Computational Science & Engineering Applications
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Biomedical engineering Neurosciences » Neuropsychology Computer science » Informatics Engineering » Computer
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Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-499 Is the Job related to staff position within a Research Infrastructure
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network deployments. It will be of huge importance to integrate the joint planning of the terrestrial and non-terrestrial networks (NTNs) into a network modeling tool capable of optimizing the balance
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14 Jul 2026 Job Information Organisation/Company KU LEUVEN Department Engineering Technology Research Field Computer science » Modelling tools Chemistry » Applied chemistry Technology » Chemical
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real‑time anonymization in practice. The researcher will develop hardware‑aware neural architectures with hardware-in-the-loop optimization and efficient inference strategies to meet the computational