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Deadline: 27th February 2026 One fully funded, full-time PhD position to work with Dr. Eleonora D’Arnese at the School of Informatics, University of Edinburgh. The aim of this project is to develop
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. Project proposals should assume utilisation of data from Crowdcube, Seedrs, and firm-level sources such as Companies House and Beauhurst, and consider use of natural language processing, computer vision
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programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable, highly motivated and enthusiastic about advancing AI for societal impact. Qualifications A high
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or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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year for consumables and travel. Funding from MTC requires passing their security checks before starting the PhD. Vision We are seeking a PhD student that is interested in robotics and automation
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PhD studentship: Teaching Intelligent Agents to See, Think and Act with Vision and Language Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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the environment (mobile EEG and VR). The PhD student is welcome to work on one (or more) of the three aspects of the research programme, and I am open to discussing PhD student interests related to these research
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will be expected to contribute to teaching at the Institute of Health Informatics, with the commitment being equivalent to six months teaching over the lifetime of the PhD. About the role The student
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proposal addresses our AD[A]PT research vision, or one of two set briefs outlined below. THE AD[A]PT RESEARCH VISION Despite decades of research giving us clear guidance on how built environment