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swarm robotics endowed with minimal cognition, with particular reference to the modelling of collective behaviours observed in genetically modified C. elegans populations within the BABOTS project
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care settings and a keen interest and/or experience in digital health technologies research. This position offers the opportunity to contribute to research on the implementation of therapeutic robotic
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theoretical knowledge directly in practice. In our research group, we develop complex experimental setups and demonstrators to test humanoid robots in human-centered environments. We are looking for students
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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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formulate research questions, develop methodologies, and execute research projects. Ability to integrate knowledge across robotics, biomechanics, sensing, control, and AI. Ability to analyze experimental data
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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experience statement (each two pages). In addition, applicants are asked to submit a two-page vision statement on where they would lead the future of the Robotics discipline, including education and research
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addition to assessing candidates against the requirements of the position, the selection may also include an evaluation of their background and knowledge of the space policies and related activities of the sponsoring
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(e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5
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planning and learning from interaction. Possible directions include learning from video, demonstrations and simulation, and transferring knowledge across robot configurations. Adaptation and edge