Senior Research Fellow — Quantitative & Mixed Methods

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research university in Singapore is seeking a Research Associate/Research Fellow/Senior Research Fellow to engage in an interdisciplinary team focused on community hubs. This role involves applying quantitative and mixed methods to explore social capital and resilience within urban environments. Candidates should have a Master's/PhD in relevant fields and minimum three years of research experience. Strong proficiency in statistical software is also required. Join us to make meaningful contributions to community engagement and urban well-being.

Qualifications

• Minimum 3 years of applied research experience in community, health, or built-environment projects.
• Proficiency in statistical software with skills in quantitative and measurement.
• Strong writing, synthesis, and analytical skills with evidence of publications.

Responsibilities

• Design and lead the development of measurement frameworks.
• Examine diverse models of community hubs for social capital.
• Coordinate a multi-agency advisory group and translate findings.
• Manage IRB submissions and ensure data integrity.

Skills

Applied research experience

Proficiency in R

Proficiency in Stata

Proficiency in SPSS

Proficiency in Python

Quantitative skills

Strong writing skills

Analytical skills

Excellent communication skills

Education

Master’s/PhD in Public Health

Master’s/PhD in Urban Planning

Master’s/PhD in Human Geography

Master’s/PhD in Psychology

Master’s/PhD in Data Science

Job description

A leading research university in Singapore is seeking a Research Associate/Research Fellow/Senior Research Fellow to engage in an interdisciplinary team focused on community hubs. This role involves applying quantitative and mixed methods to explore social capital and resilience within urban environments. Candidates should have a Master's/PhD in relevant fields and minimum three years of research experience. Strong proficiency in statistical software is also required. Join us to make meaningful contributions to community engagement and urban well-being.