Xin Li

A fully funded PhD opportunity is available at the BHF Cardiovascular Research Excellence Centre (CRE) at the University of Leicester. The project, titled 'Personalised Prediction of Sudden Cardiac Death Using LifeMap Features and Deep Learning,' aims to develop next-generation risk prediction models for sudden cardiac death (SCD) by leveraging wearable-derived LifeMap features and advanced deep learning techniques. This research is ideal for candidates passionate about AI, digital health, and improving patient outcomes. The project is supervised by Xin Li, Lecturer in Biomedical Engineering, and André Ng, both affiliated with the University of Leicester. Funding covers UK tuition fees and a stipend for the duration of the PhD, but only 2 out of 5 shortlisted projects will be awarded funding, making this a competitive call. Applicants should have a background or strong interest in biomedical engineering, computer science, or related fields. For more information and to apply, visit the provided link. The application deadline is December 28, 2024.