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Open nowPosted today

Research Fellow (Behavioural Science/Transport Studies/Psychology/Public Health/Economics/Communication/Data Science)

NANYANG TECHNOLOGICAL UNIVERSITY

Pay
SGD 4,000 – SGD 8,000 a month
Where
West, Singapore
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Your applicationOpen nowResearch Fellow (Behavioural Science/Transport Studies/Psychology/Public Health/Economics/Communication/Data Science)NANYANG TECHNOLOGICAL UNIVERSITY · West, Singapore

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This job: posted today

The posting

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Fellow to support a multidisciplinary research project on active commuting, health communication, and behavioural change in Singapore. The successful candidate will contribute to the design, implementation, and evaluation of research examining how health benefits associated with walking, cycling, and public transport use can be quantified, communicated, and leveraged to encourage active mobility behaviours. The project brings together expertise from communication, behavioural science, public health, transport studies, and data analytics.

Key Responsibilities:

  • Design, develop, and validate research instruments, including surveys, focus group protocols, experimental stimuli, and behavioural intervention materials.
  • Lead the preparation of ethics applications (IRB) and ensure compliance with research governance and data management requirements.
  • Contribute to the conceptualization, design, and implementation of mixed-methods studies, including surveys, focus groups, wearable-device validation studies, and field experiments.
  • Develop participant recruitment strategies and oversee data collection activities across quantitative and qualitative research components.
  • Manage and analyse large-scale survey, behavioural, and wearable-device datasets using appropriate statistical and econometric methods.
  • Conduct advanced quantitative analyses, impact evaluations, and wellbeing assessments using software such as R, Stata, SPSS, Python, or related analytical tools.
  • Ensure data quality through rigorous data management, cleaning, coding, documentation, and reproducibility practices.
  • Synthesise research findings and translate them into actionable insights for policy, practice, and intervention design.
  • Lead the preparation of technical reports, policy briefs, presentations, and research summaries for project stakeholders and funding agencies.
  • Contribute to the development of academic outputs, including conference papers, peer-reviewed journal manuscripts, and grant proposals.
  • Collaborate with a multidisciplinary research team to advance the theoretical, methodological, and applied objectives of the project.
  • Stay abreast of developments in behavioural science, transport research, wellbeing measurement, and active mobility to inform project design and interpretation of findings.

Job Requirements:

  • PhD in behavioural science, transport studies, psychology, public health, economics, communication, data science, or a related discipline.
  • Strong expertise in quantitative research methods; experience with mixed-methods research is advantageous.
  • Experience working with large-scale survey, behavioural, mobility, wearable-device, or longitudinal datasets is advantageous.
  • Prior experience in transport, active mobility, public health, wellbeing, or behavioural intervention research will be highly advantageous.
  • Experience preparing research protocols, ethics applications, and research documentation.
  • Proficiency in statistical software such as R, Stata, Python, SPSS, or equivalent analytical tools.
  • Demonstrated track record of academic writing, including peer-reviewed journal publications, conference presentations, technical reports, or policy briefs.
  • Strong analytical, problem-solving, and project management skills, with the ability to manage multiple research activities and timelines concurrently.
  • Ability to work effectively both independently and within a multidisciplinary research team.

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

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