This PhD project at the University of Bristol investigates the relationship between sleep patterns and the risk of developing brain diseases such as dementia. Despite advances in experimental data collection—including measurements of brain blood flow and electrical activity—the mechanisms by which sleep influences long-term brain health remain poorly understood. The project aims to develop the first multi-scale mathematical model that links daily sleep patterns to whole-life changes in brain physiology, focusing on parameters such as brain blood flow.

Building on recent multi-scale models of exercise and its effects on brain physiology, the research will exploit new mathematical models and multiple scales analysis methods. The successful candidate will have the opportunity to collaborate with modelling and physiology groups across Europe, contributing to the creation of a pioneering model of whole-life sleep effects. This model will help elucidate how and why different sleep patterns impact individuals' risk of brain disease over time.

The project is based in the School of Engineering Mathematics and Technology, offering a highly interdisciplinary environment that combines biomedical engineering, applied mathematics, and neuroscience. Applicants should have a strong quantitative background and an interest in interdisciplinary research. Funding details are not specified in the position description, and applications are accepted year round.

To apply, candidates should submit their application via the University of Bristol postgraduate portal, including a CV, academic transcripts, and a personal statement. For further information, prospective students are encouraged to contact the supervisor, Professor SP Payne. This opportunity is ideal for students interested in mathematical modelling, brain physiology, and collaborative research across Europe.