At a Glance
- Tasks: Conduct groundbreaking research in population and health data science using multimodal machine learning.
- Company: Join Swansea University, a leader in innovative research and education.
- Benefits: Fully-funded PhD with tuition fees, stipend, and training allowance for immersive experiences.
- Other info: Exciting opportunity to collaborate with NHS and contribute to vital health research.
- Why this job: Make a real impact on healthcare by developing predictive tools for diabetic complications.
- Qualifications: 1st class degree or equivalent; strong background in data science and machine learning.
The predicted salary is between 18000 - 25000 ÂŁ per year.
Swansea University is pleased to offer fully‑funded Swansea University Research Excellence Scholarships (SURES) for full‑time doctoral students to its seventh cohort, commencing in October 2026. Each SURES scholarship includes tuition fees and a stipend – reviewed annually at the UKRI standard rate and a £1,000 annual training allowance to support immersive training experiences, conference attendance, engagement with industry and international collaborative opportunities. Each scholarship is offered for a maximum period of three years; SURES students are expected to submit their theses within this timescale.
Informal scholarship enquiries from applicants to prospective supervisors – prior to the application deadline – are warmly encouraged; please direct these to the relevant member/s of faculty staff.
Subject Area: Population and Health Data Science
This PhD will investigate whether routinely collected diabetic retinal photographs, combined with clinical measurements, can more accurately identify individuals at risk of developing diabetic neuropathy, foot ulceration, other long‑term complications and mortality. The project draws on a uniquely rich 9‑year dataset from Sheffield’s One Stop microvascular screening service, where retinal images, validated point‑of‑care nerve tests (DPNCheck and SUDOSCAN), neuropathy scoring, foot assessment and blood biomarkers were collected. Participants were then followed for 7–9 years to determine who went on to develop confirmed neuropathy, foot ulceration or mortality.
The student will extract quantitative features from retinal images and combine these with clinical variables using interpretable machine learning methods to build practical risk‑prediction tools. The aim is to identify early microvascular or nerve‑related signals that may precede symptoms. This PhD aligns with emerging NHS priorities and benefits from Dr Tesfaye’s unique position as advisor to NHS England on the development of national One Stop microvascular screening services. The project aims to produce clinically interpretable prediction tools that could support earlier detection of high‑risk individuals and reduce the burden of neuropathy, ulceration and mortality.
Candidates must have achieved, or be expecting to achieve, a 1st class UK undergraduate degree (or equivalent international qualification), or a 2:1 UK undergraduate degree and a Distinction in a UK master’s degree (or international equivalent). Where applicants have multiple master’s degrees, a distinction must be held in the degree that is most relevant to the intended PhD study. If you are currently studying for a master’s level qualification with an expected award date that is later than 01/10/2026, you should hold a minimum of an upper‑second‑class (2:1) honours degree. You should be able to demonstrate a pass with a minimum grade average of at least 70 % for your part‑one master’s degree modules (the taught aspect of your master’s course rather than a research‑focused dissertation) and submit your dissertation by no later than 30/09/2026.
Applicants must be able to begin their course of study in October 2026. As a cohort‑based programme, deferral to an alternative enrolment window within the academic year or to another academic year is not permissible.
English Language requirements: If applicable – IELTS 6.5 overall (with a score of at least 6.5 in each individual component) or equivalent that is recognised by Swansea University. Details on the Swansea University English Language entry policy can be found on their website.
Please note that both the degree and language‑proficiency entry requirements for SURES are higher than the baseline standard for entry that is stipulated for most of the PhD programmes at Swansea University.
International applicants will be required to hold a SUIPRES scholarship, with further guidance to follow if shortlisted.
For more information on the selection process, please see our website.
Population and Health Data Science: SURES Funded PhD in Multimodal Machine Learning Prediction [...] in Swansea employer: Swansea University
Contact Detail:
Swansea University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Population and Health Data Science: SURES Funded PhD in Multimodal Machine Learning Prediction [...] in Swansea
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at Swansea University. They can give you the inside scoop on what it’s really like and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by practising common questions related to your research interests. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Show your passion for the project! When discussing your interest in the PhD, highlight how your background aligns with the research goals. This will help you stand out as a candidate who truly cares about the work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need to make your application shine.
We think you need these skills to ace Population and Health Data Science: SURES Funded PhD in Multimodal Machine Learning Prediction [...] in Swansea
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the PhD project. We want to see your passion for Population and Health Data Science, so don’t hold back!
Showcase Your Academic Achievements: Since we’re looking for candidates with strong academic backgrounds, be sure to clearly outline your qualifications. Mention your degree(s) and any relevant distinctions or projects that relate to the research area.
Engage with Faculty: Before applying, reach out to potential supervisors to discuss your interest in the project. This shows initiative and can help you get valuable insights that could strengthen your application.
Follow the Guidelines: Make sure to read through the application guidelines on our website carefully. We want everything to be in order, so double-check your documents and ensure you meet all the requirements before hitting submit!
How to prepare for a job interview at Swansea University
✨Know Your Stuff
Make sure you’re well-versed in the specifics of the Population and Health Data Science field. Brush up on multimodal machine learning techniques and be ready to discuss how they apply to diabetic retinal photographs and clinical measurements.
✨Show Your Passion
Express your enthusiasm for the research project and its potential impact on healthcare. Talk about why this PhD excites you and how it aligns with your career goals, especially in relation to NHS priorities.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This could be about the research environment at Swansea University or how the SURES scholarship can enhance your academic journey. It shows you’re engaged and serious about the opportunity.
✨Highlight Relevant Experience
Be prepared to discuss any relevant academic or research experience you have. If you've worked with datasets or machine learning before, share specific examples that demonstrate your skills and how they relate to the PhD project.