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- Tasks: Develop risk-prediction tools using diabetic retinal images and clinical data.
- Company: Swansea University, a leading institution in health data science.
- Benefits: Fully funded PhD with tuition coverage, stipend, and training allowance.
- Other info: Open to UK and international applicants with the right qualifications.
- Why this job: Make a real impact in health data science while advancing your academic career.
- Qualifications: First-class undergraduate degree; master's degree preferred.
The predicted salary is between 18000 - 25000 £ per year.
Swansea University is offering a fully funded PhD position in Population and Health Data Science, starting in October 2026. Candidates must hold a first-class undergraduate degree or equivalent, with additional requirements for master's degrees.
The project focuses on developing risk-prediction tools using diabetic retinal images and clinical data. This opportunity includes tuition coverage and stipend, along with a training allowance. Suitable for UK and international applicants who can meet the required qualifications.
PhD: Population & Health Data Science - Retinal Risk Predictor in Swansea employer: Swansea University
Contact Detail:
Swansea University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD: Population & Health Data Science - Retinal Risk Predictor in Swansea
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at Swansea University. They can give you the inside scoop on the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of population health data science. Be ready to discuss how your background fits into the project on retinal risk prediction.
✨Tip Number 3
Show your passion! When you get the chance to speak with the selection committee, make sure to express why this project excites you and how you envision contributing to it.
✨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, we’re here to help you every step of the way!
We think you need these skills to ace PhD: Population & Health Data Science - Retinal Risk Predictor in Swansea
Some tips for your application 🫡
Show Off Your Qualifications: Make sure to highlight your first-class undergraduate degree and any relevant master's qualifications. We want to see how your academic background aligns with the PhD project, so don’t hold back!
Tailor Your Application: When writing your application, focus on how your skills and experiences relate to developing risk-prediction tools. We’re looking for candidates who can connect their past work to the exciting research we’re doing at Swansea University.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for Population and Health Data Science shines through!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your materials and can consider you for this fantastic opportunity.
How to prepare for a job interview at Swansea University
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and techniques in Population and Health Data Science. Brush up on your knowledge of diabetic retinal images and risk-prediction tools, as this will show your genuine interest in the project.
✨Showcase Your Academic Achievements
Be ready to discuss your first-class undergraduate degree and any relevant master's qualifications. Highlight specific projects or research that relate to the PhD position, demonstrating how your background makes you a perfect fit.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the project and the team at Swansea University. This not only shows your enthusiasm but also helps you gauge if the environment is right for you.
✨Practice Your Presentation Skills
Since this role involves developing tools based on complex data, practice explaining your ideas clearly and concisely. You might be asked to present your previous work, so being articulate will set you apart from other candidates.