The University of Reading is offering a unique PhD opportunity in Optimising Machine Learning to Enhance Performance in Healthcare, combined with paid teaching experience. This 4-year part-time Graduate Teaching Assistant (GTA) position allows candidates to spend 75% of their time on PhD research and 25% on teaching, with a competitive compensation package. The research project, in partnership with the Royal Berkshire Hospital, focuses on developing and optimising simulation and machine learning pipelines to improve surgery planning and post-operative care, aiming to enhance patient outcomes and resource allocation. Applicants must hold an MSc in Computer Science or a related field and demonstrate strong organisational, research, and communication skills. No prior teaching experience is required, as training will be provided. The funding package includes a salary and stipend exceeding the standard UKRI PhD stipend, with PhD fees waived for Home/RoI students and partial fee waivers for international students. The application deadline is July 20, 2025. Interested candidates should submit a combined CV and research proposal and complete the supporting statement via the University of Reading's application portal. For further information, contact Dr Ferran Espuny-Pujol, Lecturer in Computer Science. This opportunity is ideal for those passionate about AI in healthcare and seeking to make a real-world impact while developing as both a researcher and educator.

This opportunity is a four-year, part-time, fully funded PhD at the University of Reading, combining research in machine learning for healthcare with paid teaching experience. The project aims to optimise simulation and machine learning pipelines to improve surgery planning and post-operative care, in partnership with the Royal Berkshire Hospital. The research will focus on developing data augmentation and model optimisation techniques to predict patient needs for recovery services after surgery, improving resource deployment and reducing waiting lists. Candidates will spend 75% of their time on PhD research and 25% on teaching, receiving a salary and stipend package that exceeds the standard UKRI stipend. PhD fees are waived for Home/RoI students, and international students receive a fee waiver equivalent to the Home/RoI fee but must pay the difference to the international rate. Applicants must have an MSc in Computer Science or a related discipline, be able to balance research and teaching, and demonstrate strong communication and teamwork skills. No prior teaching experience is required, as training will be provided. The application requires a combined CV and research proposal in PDF format and a supporting statement. The deadline for applications is 20 July 2025. For further information, contact Dr Ferran Espuny-Pujol at [email protected].