We are looking for a candidate who will be responsible for conducting research on musculoskeletal injury risk and mitigating factors in various work environments, as well as design, implement, and evaluate exercise-based prehabilitation programmes to optimize human work performance through improvement of musculoskeletal health and prevention of work-related musculoskeletal disorders. The successful candidate will be part of an active research team led by Asst. Prof. Bryan Tan from Rehabilitation Research Institute of Singapore (RRIS).

Responsibilities:

• Lead and conduct mixed-methods research on musculoskeletal health in occupational and community settings.
• Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations.
• Collect multimodal data via motion-capture, physiological, and environmental sensors.
• Assess human performance capacities using multidomain outcome measures.
• Analyse and interpret quantitative and qualitative data to generate actionable insights.
• Develop, implement, and evaluate exercise-based prehabilitation programmes.
• Produce scientific reports, peer-reviewed publications, and practitioner-friendly guidelines.
• Contribute to grant writing, stakeholder briefings, and knowledge translation.
• Mentor junior staff and foster collaborative team culture.

Requirements:

• Ph.D. in Exercise Science, Physiotherapy, Kinesiology, Ergonomics, Occupational Health, or related field.
• At least 1 year of experience in mixed-methods research with sensor-based and qualitative approaches.
• Strong skills in quantitative/qualitative analysis, ethics compliance, and data governance.
• Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation.
• Experience in designing and evaluating exercise/prehabilitation programmes.
• Track record of publications and ability to communicate findings to diverse audiences.
• Willingness to travel and conduct fieldwork, including in environments involving motion (e.g., sea travel)

We regret to inform that only shortlisted candidates will be notified.