Competition Funded PhD Project (Students Worldwide)
About the Project
This PhD project explores the intersection of advanced retinal imaging and artificial intelligence to improve prediction of ocular disease progression. This interdisciplinary project combines cutting-edge optical technologies with machine learning to investigate subtle structural and vascular changes in the retina, with a particular focus on conditions associated with progressive refractive error.
Despite recent advances in AI-driven diagnostics, predicting certain retinal pathologies remains a challenge due to limited understanding of the underlying biological changes. This project aims to address that gap by leveraging a unique imaging system capable of visualising the retina at unprecedented resolution—down to individual cells and blood flow dynamics. The system uses adaptive optics to enable non-invasive, in-vivo assessment of retinal structure and function.
The successful candidate will work with a rare, custom-built imaging platform—one of only a handful globally—housed within a leading UK optometry department. Data from this system will be combined with conventional clinical imaging to develop prototype models for early detection and risk stratification of pathological myopia.
This project offers a unique opportunity to contribute to the development of next-generation diagnostic tools, with potential for real-world clinical impact. It will suit candidates with a background in vision science, biomedical engineering, physics, computer science, or a related discipline, and a strong interest in translational research.
The student will gain expertise in high-resolution imaging, data analysis, and machine learning, and will be supported by a multidisciplinary supervisory team. The project is expected to lead to high-impact publications and further funding opportunities aimed at translating research findings into clinical software applications.
Entry Requirements
Applicants are expected to hold (or about to obtain) a minimum upper second-class undergraduate honours degree (or equivalent) in a relevant subject area, for example physics or engineering. Research experience in optical instrumentation/AI is desirable.
International applicants (including EU nationals) should ensure that they meet the academic eligibility criteria for the programme. Applicants who are offered a place will also need to meet the University's English language requirements before commencing their studies. Further information can be found on the University's English Language Requirements page.
Application Guidance
Candidates must contact the primary supervisor before applying to discuss their interest in the project and assess their suitability.
Apply directly via this link: https://tinyurl.com/mt2xfsvp or on the online application portal, select EPSRC DTP PhD as the programme of study.
You may apply for up to two projects within this scheme. If you wish to apply for two projects, you must submit a separate online application for each project, listing the relevant project title and main supervisor in each application.
Please ensure that your application includes all required supporting documents:
- Curriculum Vitae (CV)
- Supporting Statement
- Academic Certificates and Transcripts
Incomplete or late applications will not be considered. Further details are available on our website: EPSRC Doctoral Training Partnership | Biology, Medicine and Health | The University of Manchester
Equality, diversity and inclusion are central to the University’s activities. The full statement can be found here: https://www.bmh.manchester.ac.uk/study/research/getting-
Funding Notes
The EPSRC studentships provide full funding for tuition fees and a stipend at the Research Councils UK (UKRI) rate for 3.5 years starting in September 2027. Please note, candidates will need to cover the cost of relocation and any associated costs (e.g. visa, health surcharges).