Research Fellow, Digital Adult Learning Quality Index

About the role

Singapore Institute of Technology (SIT), a University of Applied Learning, is offering a fixed-term Research Fellowship in the Digital Adult Learning Quality Index within its Health and Social Sciences research division. The fellow leads the design, implementation, analysis and translation of a multi-institutional applied research programme that develops and validates a Digital Adult Learning Quality Index and benchmarks the quality, impact and value of digital continuing education and training courses.

Key responsibilities

• Lead day-to-day scientific and operational delivery of the project with the Principal Investigator, meeting milestones, deliverables, timelines and quality standards.
• Lead co-design activities such as stakeholder workshops, literature and framework synthesis, item generation, Delphi rounds and pilot testing of the instrument.
• Design and run pilot and multi-provider field studies with around 1,000 adult learners across live-online, self-paced and hybrid continuing education and training courses, including protocols, sampling plans, measurement schedules and data-quality procedures.
• Lead psychometric and statistical analyses, including reliability and validity, factor analyses and multilevel/moderation analyses.
• Develop and refine research instruments and workflows such as surveys and telephone interviews.
• Coordinate with CET providers, academic collaborators, enterprise representatives and vendors, and manage meetings, documentation, ethics and data-sharing requirements.
• Supervise and mentor the Research Engineer/Research Assistant and student assistants, and prepare progress reports, manuscripts, conference presentations and policy outputs.
• Maintain complete research records and ensure compliance with IRB, PDPA, data-management, information-security and Work, Safety and Health requirements.

Required profile

• PhD in psychology, education, learning sciences, behavioural or social sciences, psychometrics, statistics/data science, HCI, public policy or a closely related discipline; or a Bachelor's/Master's degree with at least eight years of relevant research or industry experience.
• Strong training in quantitative research methods, survey development, psychometric validation and applied programme or learning evaluation.
• Demonstrated ability to design and manage complex studies with multiple stakeholders, sites, data sources and longitudinal follow-up.
• Excellent written and spoken communication, with evidence of high-quality research reports, publications and/or presentations.
• Experience in adult learning/CET, digital learning, learning analytics or mixed-methods research is advantageous.

Required skills

• Statistical analysis in R, Python, SPSS, Stata, Mplus or equivalent; reproducible workflows and data visualisation expected.
• Project leadership, planning and prioritisation, and clear technical writing and presentation skills.