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21 Nov 2025 Job Information Organisation/Company KU LEUVEN Department LMSD/FIIW Research Field Engineering » Aerospace engineering Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher...
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. The opportunity to build up research and innovation skills that are essential for a future career in research and development, both in an industrial and academic context. Funding is secured for four years. A
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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to study the binary stellar hearts and the core-collapse process that form them. PhD project 1 – Investigating the Explosion and Implosion Signatures of Binary StarsThe aim of this PhD project is to
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) through the Flemish innovation clusters Flanders Space and Blue Cluster, the Hydraulics & Geotechnics Section of the KU Leuven Department of Civil Engineering is offering one full-time PhD position for 4
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Marie Curie Grant Agreement Number 101217515 Is the Job related to staff position within a Research Infrastructure? No Offer Description The first position is aimed at a prospective PhD candidate who will
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Number BAP-2025-639 Is the Job related to staff position within a Research Infrastructure? No Offer Description Conducting doctoral research, completing the programme and obtaining a PhD in the domain
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2 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Chemistry » Physical chemistry Physics » Optics Physics » Surface physics Physics » Chemical physics Physics » Condensed matter properties Technology » Nanotechnology Researcher Profile First Stage Researcher...
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bipedal robot that will learn to walk on soft and natural ground, such as sand and gravel. The controller design will include knowledge of the type of ground the robot walks over, and how the substrate
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, and deployment constraints require compact models. This PhD project explores how to adapt representation learning for these low-resource settings. Specifically, we aim to design suitable model