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23 Sep 2026 Job Information Organisation/Company KU LEUVEN Department faculty of engineering science Research Field Computer science » Computer systems Computer science » Database management
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
. To gain deep insights into the fundamental physics of such flows, you will perform cutting-edge DNS on state-of-the-art high-performance computers. Leveraging conventional physical analyses and innovative
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. Interest in high-performance computing and parallel algorithms. Fully funded 4-year PhD position at KU Leuven and EnergyVille. Research at the forefront of future converter-dominated power systems. Access
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students, postdocs and technicians. Excellent communication skills and fluency in English. Our offer A doctoral scholarship for a period of 1 year to start with. Following a positive evaluation, the
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Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-562 Is the Job related to staff position within a Research Infrastructure? No Offer Description Interreligious dialogue
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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to develop a new type of optical computing devices capable of solving difficult combinatorial problems. Such combinatorial problems frequently arise in our society, for example in logistics, finance
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Application Deadline 17 Aug 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across