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Field
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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collaborators working on theory and experiments As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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trajectories and enhance interaction safety and robustness. Learning for Human-Robot Interaction: Integrate machine learning techniques, such as reinforcement learning and generative models, with control theory
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consisting of Prof. Jan Hendriks, Dr Wilco Verberk, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and postdoctoral researchers of WP1 and WP2. Your work will be theory
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to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include
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. The position is part of a large initiative funded by KAW to develop a comprehensive platform that will enable, for the first time, deterministic control of atomic configurations in UWBG materials. The project
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, synthetic biology, yeast genetics, or control theory is a plus but not necessary. Ph.D is required. For more information, please visit: https://scholar.princeton.edu/jlagroup. Princeton University is
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development of sustainable energy systems by use of heterogeneous catalysis for alternative fuel production, emission control, energy storage, and fuel cells. The research is interdisciplinary with strong