13 computer-science-intern-"https:"-"https:"-"https:" PhD positions at University of Exeter
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful...
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an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
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, Computer Science, Natural Sciences, Quantum technologies, although we are open to any enthusiastic applicant with a science-related background. The start date of the studentship is October 2026 (or earlier
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genomics, clinical research, and computational biology. The findings will provide insights into peripheral signatures of DLB, assessing whether small RNAs can serve as reliable biomarkers. This project will
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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are fundamentally limited by a "one model for one task" design philosophy. This approach incurs prohibitive engineering costs and yields brittle solutions with poor generalisation to new network conditions, trapping
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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to commercialise the outputs of the project. Project specific entry requirements: Minimum 2.1 (or equivalent) degree in Zoology/Biology, Engineering or Computer Science/Data Science. Department: Ecology and