Are you interested in researching the links between diet, ultra-processed foods, and cancer?
We’re excited to announce a fully-funded PhD opportunity at the Digital Footprints Lab at the University of Bristol. We’re looking for a motivated researcher to join our multidisciplinary team to investigate connections between dietary patterns, ultra-processed foods, and cancer risk.
Using innovative loyalty card data, this project offers a unique opportunity to make a meaningful impact by uncovering how dietary habits influence health outcomes—all while developing advanced skills in health data science, epidemiology, and machine learning. This fully-funded PhD covers tuition fees (for both home and international students), a competitive stipend, and research costs, ensuring you have the resources you need to focus on impactful research.
You’ll work with a supportive team of supervisors—Professor Richard Martin, Dr Anya Skatova, Professor Jeff Brunstrom, and Dr Alisha Suhag—who are passionate about using novel data sources to explore new possibilities at the frontier of cancer epidemiology. As part of a dynamic, forward-thinking team of academics at Bristol Medical School, you’ll benefit from opportunities at the cutting edge of research at one of UK’s top universities.
And let’s not forget the city—Bristol is a vibrant place, with a thriving cultural scene and a supportive academic community, making it an ideal setting for a PhD journey.
This position is well-suited for students with strong quantitative skills from a range of backgrounds, including epidemiology, data science, nutrition, computer science, and social sciences. We are particularly interested in applicants with a keen interest in interdisciplinary research exploring the link between diet and disease. Familiarity with programming tools such as Python, R, SQL, or similar languages is advantageous but not essential.
Interested?
We’d love to hear from you! Applications close on January 6, 2025, at 4pm GMT.
For any questions, feel free to reach out at anya.skatova@bristol.ac.uk.