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Research Assistant/Associate (Community Innovation and Applied Social Research)
The Lee Kuan Yew Centre for Innovative Cities (LKYCIC) at the Singapore University of Technology and Design (SUTD) invites applications for full-time Research Assistant/Associate appointments to support applied research and innovation projects on people, communities, and cities.
The position is suited for candidates with strong interests in mixed-methods social science research, social policy innovation, community development, and translating research into real-world impact. The successful applicant will join an interdisciplinary team working at the intersection of behavioural science, urban planning, public health, sustainability, and community activation.
About the role
The successful candidate will contribute to projects in LKYCIC focusing on understanding how social and built environments shape individual and community outcomes, and how research can be translated into practical interventions, programmes, policies, and design solutions.
Current and upcoming projects include:
Projects typically involve a combination of surveys, interviews, focus groups, behavioural observations, workshops, participatory design activities, and field-based research conducted in partnership with government agencies, community organisations, industry partners, and residents. Depending on the project, researchers may also have opportunities to work with digital platforms, spatial data, and emerging AI-enabled tools that support research, community engagement, programme design, and policy innovation.
Key responsibilities
The candidate will be expected to:
The Centre may, at its discretion, assign additional responsibilities from time to time, such as teaching or other duties aligned with the Centre's needs.
Skills and qualifications required
The following would be advantageous:
How to apply
Interested applicants are encouraged to send their application with the subject heading Research Assistant/Associate (Community Innovation and Applied Social Research) to [Confidential Information] with the following:
We regret that only shortlisted candidates will be notified. Applications will be reviewed on a rolling basis and will continue until the position is filled.
Job ID: 148923873
Skills:
spatial data , policy development , mixed-methods research, digital platforms, Interviews, community engagement, quantitative research methods, focus groups, field-based research, observations, survey design, Workshops, AI-enabled research tools
Skills:
Sas Programming, R Programming, quantitative research methods, survey design
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