Project background

The increasing availability of multimodal health data, coupled with advances in AI, offers new opportunities to deliver personalised, scalable behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability, struggle to integrate heterogeneous and longitudinal data, and do not adequately address key challenges related to safety, bias, robustness, and clinical validity.

We are seeking a highly motivated PhD candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching and nudging systems capable of supporting positive patient outcomes across a range of conditions. The successful candidate will contribute to the development of a scalable and interoperable AI system that deli...