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
Responsibilities:
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Lead and conduct mixed-methods research on musculoskeletal health in occupational and community settings.
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Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations.
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Collect multimodal data via motion-capture, physiological, and environmental sensors.
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Assess human performance capacities using multidomain outcome measures.
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Analyse and interpret quantitative and qualitative data to generate actionable insights.
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Develop, implement, and evaluate exercise-based prehabilitation programmes.
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Produce scientific reports, peer-reviewed publications, and practitioner-friendly guidelines.
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Contribute to grant writing, stakeholder briefings, and knowledge translation.
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Mentor junior staff and foster collaborative team culture.
Requirements
Requirements:
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Ph.D. in Exercise Science, Physiotherapy, Kinesiology, Ergonomics, Occupational Health, or related field.
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At least 1 year of experience in mixed-methods research with sensor-based and qualitative approaches.
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Strong skills in quantitative/qualitative analysis, ethics compliance, and data governance.
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Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation.
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Experience in designing and evaluating exercise/prehabilitation programmes.
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Track record of publications and ability to communicate findings to diverse audiences.
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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.