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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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, 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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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics
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structures and learning objectives that disentangle sound representations according to well-understood signal characteristics reflecting the underlying sound generation process. By making this understanding
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workshops and schools. A dynamic and supportive research environment with strong mentorship. For more information please contact Prof. dr. Mumin Enis Leblebici, mail: muminenis.leblebici@kuleuven.be
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you to apply. The opportunity to work on a challenging and advanced research topic, in a dynamic academic environment, to acquire research and project management skills, to network with leading