Research Fellow (Environmental Change, Health and Social Resilience)

In this rapidly changing world, the Centre for Climate Change and Environmental Health (CCEH) is advancing research on how climate change, air pollution, and extreme environmental conditions affect human health. By bringing together expertise across environmental science, exposure assessment, epidemiology, and public health, CCEH develops evidence-based solutions to support healthier and more climate-resilient communities in Singapore and across Asia.

Within CCEH, the Environmental Health team, led by Prof. Steve Yim, investigates the interactions between climate, air quality, and human health using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific evidence for public health policy and workforce protection strategies.

Key Responsibilities:

The position will support interdisciplinary research on environmental and climate-related change, human health, and the social and spatial dimensions of vulnerability and resilience. The role will contribute to research on how environmental change, place-based characteristics, and population mobility shape health, wellbeing, and adaptive capacity across different community settings, including migrant and mobile populations. The successful candidate will support research design, data collection and management, quantitative and mixed-methods analysis, coordination with collaborators, and the preparation of scientific publications and other research outputs.

Job Requirements:

• Have a Ph.D. degree in geography, environmental studies, public health, environmental health, urban studies, sociology, migration studies, or a related discipline.

• Have research experience in environmental change, climate change and health, migration, population mobility, rural transformation, or related interdisciplinary fields.

• Have experience in quantitative, qualitative, or mixed-methods research, including the analysis of social, environmental, demographic, or spatial data.

• Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools.

• Have good organizational and communication skills and evidence of the ability to work independently as well as collaboratively in interdisciplinary teams.

• Evidence of strong academic writing skills and the ability to contribute to scientific publications and other research outputs will be advantageous.

We regret that only shortlisted candidates will be notified.