The School of Informatics at the University of Edinburgh is offering a fully funded PhD position in 3D Computer Vision for Medical Imaging, supervised by Dr. Eleonora D'Arnese. This opportunity is ideal for candidates interested in developing advanced computer vision methods for medical image analysis, with a primary focus on oncology and pathology. The project may emphasize multi-modal learning, explainability, and generative AI, providing a cutting-edge research environment at one of Europe's largest and most prestigious informatics schools.

Applicants should hold a strong Bachelor's degree (2:1 or above or international equivalent) and/or a Master's degree in a relevant field such as physics, mathematics, engineering, computer science, or related disciplines. Proficiency in English (oral and written) is required. Candidates must demonstrate a keen interest in medical imaging, evidenced by prior experience, coursework, hackathons, or personal projects. Strong Python programming skills and proven experience with PyTorch are essential, and prior 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, along with a tax-free stipend of GBP £20,780 per year for 3.5 years. The anticipated start date is 14 September 2026, with flexibility for later starts for international applicants. The application deadline for full consideration is 27 February 2026, but applications may be considered until the position is filled.

To apply, candidates must submit all degree transcripts and certificates (with certified translations if applicable), evidence of English language capability (where required), a short research proposal (max 2 pages), a full CV and cover letter (max 2 pages), and two references. Applications should be submitted via the University of Edinburgh's admissions portal (EUCLID) for the Informatics: IPAB: Robotics, Computer Vision, Computer Graphics programme. Applicants must state '3D Computer Vision for Medical Imaging' and list Dr. Eleonora D'Arnese as supervisor in their application and research proposal. Only complete applications will be considered for further review.

The University of Edinburgh offers a vibrant, international research environment with several centres of excellence in informatics and medical imaging. The School of Informatics is recognized for its world-leading research outputs and societal impact, making it an excellent place to pursue doctoral studies in computer vision and medical imaging.