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Networks, and ICT Services & Applications. Your role The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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adapted to human expectations. As a postdoc within the XPECT project, you will be expected to conduct high-quality research (80%), provide support supervising PhD-students and be a part of the research team
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, which complements our current robotics infrastructure and fills a gap in mammalian system development. Additionally, the fellow will mentor trainees and support the lab’s growing efforts in open-source
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, for example in human and robotic exploration vehicles (orbiters and landers) and space transportation systems (launchers, re-entry vehicles and space tugs), as well as orbital systems for in-orbit servicing
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workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or a related
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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Laboratory (ORNL) and Department of Energy (DOE) mission. Selection will be based on qualifications, relevant experience, skills, and education. This position resides in the Manufacturing Robotics and Controls