Research Associate in Personalised Digital Health Interventions

This Research Associate position at Loughborough University focuses on advancing personalised digital health interventions through cutting-edge research. Based in the Centre for Lifestyle Medicine and Behaviour (CLiMB) within the School of Sport, Exercise and Health Sciences, the role involves collaboration with the Wolfson School of Mechanical, Electrical and Manufacturing Engineering. The successful candidate will contribute to developing Just-in-Time Adaptive Interventions (JITAIs) and micro-randomised trials (MRTs) using smartphone and wearable data, alongside reinforcement learning and machine learning models. The position requires expertise in intervention design, study implementation, data analysis, and dissemination of research findings through high-quality publications and conferences.

• Develop and implement Just-in-Time Adaptive Interventions (JITAIs) and micro-randomised trials (MRTs) using wearable and smartphone data.
• Design and conduct studies focused on personalised health interventions that adapt to individual behaviours, needs, and contexts.
• Apply machine learning, particularly reinforcement learning, to model and analyse health data for intervention optimisation.
• Collaborate across disciplines to contribute to intervention development, study design, data analysis, and dissemination of research findings.
• Publish high-quality research outputs in peer-reviewed journals and present findings at academic conferences.
• Work effectively within a multidisciplinary team to ensure the successful execution of research projects.