University of Southampton
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4 days ago
PhD in Artificial Intelligence Techniques for Illness Detection by Using MRI University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition-funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers that cover the difference between overseas and UK fees for qualifying students, Presidential Bursaries that cover the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants. International self-funded or sponsored candidates are also encouraged to appl
Country
United Kingdom
University
University of Southampton

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About this position
PhD opportunity at the University of Southampton in artificial intelligence, machine learning, computer vision, and medical image analysis.
The project, Artificial intelligence techniques for illness detection by using MRI, focuses on developing AI methods to detect hypoxic-ischaemic encephalopathy (HIE) in newborn babies by analysing MRI / Susceptibility Weighted Images (SWIs). The aim is to identify brain injury earlier than the current clinical practice and to help clinicians target early interventions and improve outcomes.
Supervisory team: Dr Sasan Mahmoodi and Professor Brigitte Vollmer, University of Southampton.
Eligibility: applicants need a UK 2:1 honours degree or international equivalent. Useful background includes machine learning, computer vision, and Python programming; deep learning is desirable but not essential.
Funding: competition-funded PhD project for students worldwide. Funding routes mentioned include Horizon Europe fee waivers, Presidential Bursaries, and school studentships that may cover UK-level tuition fees and a living-cost stipend for top-ranked applicants. International self-funded or sponsored applicants are also welcome.
Application: applications are accepted all year round and funding is awarded on a rolling basis, so early application is encouraged. To apply, choose Research, 2026/27, Faculty of Engineering and Physical Sciences, select full-time or part-time, search for PhD Computer Science (7089), and add the supervisor name in section 2 of the application. Required documents include a research proposal, CV, two academic references, transcripts/certificates, and English language qualification if applicable.
Location: Southampton, United Kingdom.
Funding details
Competition-funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers that cover the difference between overseas and UK fees for qualifying students, Presidential Bursaries that cover the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants. International self-funded or sponsored candidates are also encouraged to appl
What's required
A UK 2:1 honours degree or international equivalent is required. Applicants should have knowledge of, or interest in learning, machine learning, computer vision, and Python programming. Deep learning knowledge is desirable but not essential. English language qualification is required if applicable.
How to apply
Apply online through the University of Southampton application portal. Choose programme type Research, select 2026/27 and the Faculty of Engineering and Physical Sciences, choose full time or part time, search for PhD Computer Science (7089), and add the supervisor name in section 2. Submit a research proposal, CV, two academic references, transcripts/certificates, and English language qualification if applicable.
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