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Vacancies PhD Opening: Reinforcement learning in human neuromusculoskeletal models for the control of human-inspired musculoskeletal robots. Key takeaways We’re seeking for motivated candidates
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Do you want to work on the next generation robot skin to give machines a sense of touch so that they can grab and swiftly manipulate large and heavy objects? Are you passionate about contact and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us in designing the next generation of soft robots—adaptive, precise, and high-performance
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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range of movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs
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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms
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eager to apply and valorize scientific results in this field in high-tech domains such as semiconductor machines and robots, together with highly innovative companies? Would you like to work in a team of
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Interaction (HCI), Artificial Intelligence (AI), robotics, and accessibility, with a focus on inclusive co-creation methodologies for children with autism and eating behavior challenges. Information We invite