Research Associate / Research Fellow (Behavioural Epidemiology & Digital Health)
Job Description
The Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, invites applications for Research Associate and Research Fellow positions within the PANDA programme. We are seeking experienced, self-driven researchers with a strong grounding in behavioural epidemiology, digital health, or related disciplines to contribute to innovative research at the interface of wearable and sensor-based health measurement, behavioural science, digital health, and epidemiology.
Successful candidates will take an independent and substantive role in the design, conduct, and dissemination of research. The programme offers a rich environment for academic development, with access to large-scale longitudinal cohorts, wearable and sensor-based data, and digital behavioural intervention platforms across diverse Asian populations.
About PANDA
The Physical Activity and Nutrition Determinants in Asia (PANDA) programme is one of the flagship research programmes at SSHSPH, bringing together faculty from public health, epidemiology, psychology, medicine, and data science. We have conducted research using accelerometers, wearable activity trackers, ecological momentary assessment, and digital phenotyping approaches to better understand movement behaviours, lifestyle patterns, and their associations with physical and mental health outcomes across the life course. With these, we aim to understand the behavioural, social, environmental, and biological determinants of physical activity and nutrition in Asian populations, and to develop and evaluate digital and community-based interventions that promote healthy behaviours and prevent non-communicable diseases and support mental well-being.
Key Responsibilities
- Contribute to the processing and interpretation of wearable-derived physical activity and behavioural datasets
- Design and conduct epidemiological studies and behavioural research examining physical activity, sedentary behaviour, sleep, and related health behaviours using wearable and sensor-derived data in population-based and intervention settings
- Develop, implement, and evaluate digital health interventions (e.g., app-based, wearable-supported, or mHealth platforms) targeting health behaviour change
- Analyse complex longitudinal, sensor-derived, and ecological momentary assessment (EMA) datasets using appropriate epidemiological and statistical methods
- Lead or contribute to systematic reviews, intervention evaluations, and mixed-methods research relevant to behavioural epidemiology and digital health
- Take a leading role in the preparation of peer-reviewed scientific manuscripts, with first or senior authorship commensurate with contribution
- Contribute to the development of research protocols, ethics applications, and grant proposals in collaboration with the research team
- Contribute to the supervision and mentorship of junior research staff and postgraduate students where appropriate
- Present research findings at national and international conferences and engage with broader academic and policy communities
Qualifications
Requirements
- A PhD or Master’s degree (with substantial research experience) in Public Heal