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Responsibilities The appointee will join a multidisciplinary team led by the Principal Investigator to develop AI‐driven navigation systems in robotic implant surgery. The duties include but not limited
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Full time, 2 years fixed term opportunity (with the possibility of extension). Located on the Darlington Campus at the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) Contribute
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management of sport injuries, with emphasis on safety rather than performance. You will be part of an interdisciplinary team of pioneering researchers, with the primary aim to develop cutting-edge robotics and
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discipline. You will have hands-on experience with engineering designs, circuitry, system control, and integration, with a special emphasis on mechatronic and robotic systems. Your track record will
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a Postdoctoral Research Associate to join the team and contribute to this initiative. Working closely with materials modelling experts, you will have a primary role in planning experimental materials
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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engineering. The research unit Discrete Technology and Production Automation (DTPA) is focused on the dynamical modeling, analysis, mechatronics and control of complex electro-mechanical systems
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine
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) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering
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control and strong interest to further develop their skills. The selected applicants are expected to have: • Masters or PhD-level degree in Robotics, Mechatronics, Computer Science or closely related fields