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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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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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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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by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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The project: Open to students embarking on PhD research starting in September 2026 in any aspect of the History of Hong Kong, broadly conceived. We are looking for applicants interested in pursuing
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of Bristol by 23 January 2026. To make an online application go to http://www.bris.ac.uk/pg-howtoapply . Please select History PhD on the programme choice page and September 2026 as your start date. Enter
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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