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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
range of inter-disciplinary skills, be focussed on human-centred solutions supported by technology, and have excellent communication skills (both written and verbal). Interviews for this studentship
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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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expertise, and engagement with industrial partners driving innovation in aerospace materials. We welcome applications from motivated candidates with a background in materials science, mechanical engineering
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by the ARC Trust and partners. The project will combine detailed three-dimensional habitat classification using cutting-edge technology with field-based tracking and tagging of individual frogs and
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Brushless Doubly Fed Machines (BDFMs) are emerging as a promising technology for offshore wind turbine generators due to their fractional-sized power converters, elimination of rotor brushes and
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insights for streaming, broadcast, accessibility and media production. Candidate profile Applicants should have a background in machine learning, audio engineering, speech processing or a related discipline
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s
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and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its
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expertise in hydrology, geomorphology, community co-development and social science? Based in the Department of Civil and Environmental Engineering, you will contribute to the research project ‘CONVERSE