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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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, the EPSRC programme ULTRAlGaN and the UKRI Innovation and Knowledge Centre REWIRE . This position benefits from the Chair in Emerging Technologies awarded to Professor Kuball by the Royal Academy
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postgraduate (PhD) experience in physics, Materials Science or Engineering, or be working towards one, or equivalent professional qualification/experience. Ideally with a good publication record. The position
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United Kingdom Application Deadline 11 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
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computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
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of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops
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London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced