The School of Civil and Environmental Engineering (CEE), Nanyang Technological University, is the host school for the project “Building Community Resilience Against Sea-Level Rise” (Grant H2_2024-3_T10). The project is funded by the National Parks Board (NParks) under the Marine Climate Change Science Coastal Protection (MCCS) call and brings together CEE and the Wee Kim Wee School of Communication and Information (WKWSCI) to integrate geospatial modelling, behavioural risk-perception research, agent-based simulation, and community engagement design in support of Singapore’s coastal adaptation efforts.

We are looking for a Research Fellow (Climate Risk Perception & Community Behavioural Research) to lead Modules A and B for the NParks MCCS project: baseline research on how residents and businesses perceive and respond to sea-level rise and coastal flood risk, behavioural experiments, and community archetype identification via LCA.

Key Responsibilities:

• Lead Module A: Baseline behavioural research on risk perception, risk tolerance, and adaptation readiness among residents and businesses, using surveys, in-depth interviews, focus groups, and behavioural experiments.

• Lead Module B: Community archetype identification and mapping using latent-class methods.

• Coordinate cross-module integration of archetype outputs across the project team.

• Present findings to the project team, NParks and other agency partners, and community stakeholders.

• Co-author the Risk Perception and Adaptation Readiness Report.

• Contribution to conference presentations and top-tier journal publications.

Job Requirements:

• PhD in Communication Studies, Psychology, Behavioural Science, Sociology, Public Policy, Environmental Social Science, Environmental Psychology, Human Geography, or related.

• Familiarity with environmental, climate change, sea-level rise, or sustainability-related behavioural research, including risk perception, climate adaptation behaviour, or science/risk communication.

• Survey/instrument design, behavioural experimental design, and large-scale data collection experience.

• LCA, multinomial logistic regression, SEM, factor analysis (R/Stata/SPSS/Mplus).

• Qualitative research skills: in-depth interviewing, focus group facilitation, and qualitative analysis (NVivo).

• Strong spoken and written communication, including oral presentation of findings to academic, agency, and community audiences, and a track record of academic writing.

• Ability to coordinate cross-functional research teams.

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