PhD Studentship in 3D Computer Vision for Medical Imaging The University of Edinburgh in United Kingdom

[Full-time PhD tuition fees for Home (£5,006 per annum) or Overseas (£34,800 per annum) students, plus a tax-free stipend of £20,780 per year for 3.5 years. Rates for 2026/27 not yet confirmed.]

The University of Edinburgh is offering a fully funded, full-time PhD studentship in 3D Computer Vision for Medical Imaging, supervised by Dr. Eleonora D’Arnese at the School of Informatics. This project aims to advance computer vision methods for medical image analysis, with principal applications in oncology and pathology. Research may focus on generative AI, explainability, and multi-modality approaches, leveraging state-of-the-art techniques in deep learning and image analysis.

The successful candidate will join a vibrant research environment at the School of Informatics, one of the largest and most prestigious informatics institutes in Europe. The School is renowned for its world-leading research outputs and societal impact, and the University of Edinburgh consistently ranks among the world’s top universities. The research group is highly international and collaborates across several centres of excellence.

Eligibility requires a good Bachelors degree (2.1 or above or international equivalent) and/or Masters degree in a relevant discipline such as physics, mathematics, engineering, computer science, or related subjects. Applicants must demonstrate proficiency in English and show interest in medical imaging through prior experience, courses, hackathons, or personal projects. Strong Python programming skills and proven experience with PyTorch are essential, and previous experience in medical image analysis is highly desirable.

The studentship covers full-time PhD tuition fees for both Home (£5,006 per annum) and Overseas (£34,800 per annum) students, plus a tax-free stipend of £20,780 per year for 3.5 years. These rates are for the 2025/26 academic year, with 2026/27 rates to be confirmed. The anticipated start date is 14th September 2026, but later start dates may be considered for international applicants requiring immigration processes.

Applicants must submit all degree transcripts and certificates (with certified translations if applicable), evidence of English language capability (where required), a short research proposal (maximum 2 pages), a full CV and cover letter (maximum 2 pages), and two references. Only complete applications will be considered. Applications should be made via the University’s admissions portal (EUCLID) for the specified programme, clearly stating '3D Computer Vision for Medical Imaging' and Dr. Eleonora D’Arnese as supervisor in both the application and research proposal. Informal inquiries can be directed to [email protected].

Complete applications submitted by 27th February 2026 will receive full consideration; after this date, applications may be considered until the position is filled. This opportunity is ideal for candidates passionate about advancing medical imaging through cutting-edge computer vision research in a world-class academic setting.