A three-and-a-half-year, full-time PhD studentship at the University of Sunderland's NORI, with Durham University and Occuity Ltd. It evaluates new ophthalmic technologies that capture biological information from the eye, and whether these can serve as biomarkers for diseases such as diabetes. The student works with NHS and population study data, uses advanced analysis methods, and completes internships with partners. Applicants need a relevant STEM degree of first or higher second class, with health data analytics experience, and UK home or EU settled or pre-settled status for full funding.
What the job involves
- Evaluate novel ophthalmic technologies that capture previously inaccessible biological information from the eye
- Investigate how these measurements relate to ocular and systemic health
- Assess their potential as biomarkers for disease detection, stratification and monitoring
- Work with data and participants recruited through NHS and population-based studies
- Contribute to observational and translational studies involving people with or at risk of chronic disease
- Apply analytical approaches such as statistical modelling, image analysis, machine learning and multimodal biomarker integration
- Generate evidence to support responsible translation of ophthalmic technologies into clinical research and healthcare
- Complete research-in-practice internships with academic, civic and industrial partners
What’s required
Qualifications
- First or higher second-class honours degree, or equivalent, in a relevant STEM subject
- For a second-class degree: a Master's degree, or expected Master's, or 2 to 5 years' full-time relevant professional experience
Experience
- Some work involving health data analytics
Checks & eligibility
- UK home fee status, or EU settled or pre-settled status
Other
- Two academic or professional references covering your role on a research project, submitted with the application
- IELTS overall score of 6.5 with at least 6.0 in each component, if English is not your first language
What’s offered
- UK home-rate tuition fees
- Monthly stipend at the UKRI recommended rate
- Research training in data analysis, artificial intelligence and research translation
- A laptop
- Research activity allowance of up to £3,000
- Research-in-practice internships with academic or industry partners
- Exchange opportunities with leading health data science research groups
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Contact Details:
The Methodist Church in Britain Recruitment Team
