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forms part of a new interdisciplinary research project at KU Leuven that will use explainable, adaptive and multimodal human-AI interaction methods to let generative AI spark new insights and
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applications for a PhD position in robotics, with a focus on state estimation, localization and mapping (SLAM) in dynamic and uncertain environments. The research will center on the integration of commercially
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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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; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
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of their chiral properties, structure and optical properties; both in solution phase and on solid supports; (iii) catalytic and biomedical applications followed by the prototyping of the most promising
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that can dynamically support mission-critical users and networks of autonomous robots (e.g., drones, ground units) assisting in emergency and disaster-relief operations. DC11: Positioning of non
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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics
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thematic seminars and reading groups (including on environmental philosophy, ethics and justice). RIPPLE currently consists of 11 senior staff members, 5 postdoctoral researchers, and an international group
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, a historic, dynamic and lively city in the heart of Belgium, within close proximity to major European capitals. KU Leuven is a research-intensive, internationally-oriented university that conducts
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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic