Research Fellow (Early Warning System)

About the Role

Nanyang Technological University Singapore’s Centre for Climate Change and Environmental Health (CCEH) is seeking a Research Fellow to support work on early warning systems for climate-sensitive environmental health risks. The centre studies how climate change, air pollution, and severe environmental conditions influence human health, drawing on environmental science, exposure assessment, epidemiology, public health, and predictive modelling to generate evidence that can improve health resilience in Singapore and across Asia.

The role sits within the Climate and AI team, led by Prof. Steve Yim. The team examines how climate, air quality, environmental hazards, and human health interact by combining observations, forecasting methods, artificial intelligence, and statistical analysis. Its work spans multiple spatial and temporal scales to strengthen prediction of environmental health threats and to support public health policy, workforce protection, and climate adaptation planning.

What You Will Work On

You will contribute to the design and advancement of environmental health early warning systems and predictive models for hazards linked to climate change. The research focus includes extreme heat, humid heat stress, air pollution spikes, transboundary haze, severe weather, and other related risks affecting health in Singapore and Southeast Asia.

• Analyse and combine climate, environmental, health, and socioeconomic datasets using advanced statistical, spatiotemporal, and AI-based methods.
• Develop and test forecasting frameworks for hazards and health-risk prediction.
• Support the preparation of research papers, technical reports, and practical decision-support tools.
• Work with research collaborators and stakeholders to improve early warning capability, climate services, and evidence-based adaptation strategies.

Requirements

The ideal candidate should hold a PhD in atmospheric science, climate science, environmental health, environmental science, computer science, artificial intelligence, data science, public health, epidemiology, geography, or a closely related field.

• Demonstrated research experience in AI, machine learning, deep learning, environmental modelling, climate-health studies, early warning systems, or related areas.
• Strong coding and analytical ability in Python, R, MATLAB, or comparable ML/data science tools such as PyTorch, TensorFlow, and Scikit-learn.
• Good planning and communication skills, with the ability to work both independently and within interdisciplinary, multi-institutional teams.
• Strong report-writing capability and the ability to contribute to scholarly publications and other research deliverables.

Additional Information

Only applicants who are shortlisted will be contacted.

Hiring Institution: NTU