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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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ABOUT GHENT UNIVERSITY PhD Researcher on Resource efficient robotic world models Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
facilities, as well as support to attract talented PhD students and postdocs from across the world. Assignment Research. As a VIB Group Leader and KU Leuven Professor, you will be expected to (continue to
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
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for the propagation of incoherent light, novel computational algorithms for solving inverse problems to retrieve denoised and high-resolution holographic recordings, and motion compensation techniques. In this PhD
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the theory and the implementation of neural networks (for instance, transformers, CNNs) and/or search algorithms (for instance, branch & bound search, beam search) strong programming skills, where
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) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu/projects/CertiFOX/ Another long-standing objective is to
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact