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Research Associate – Spatial Environmental Health & AI Exposure Modelling

NTU · Singapore

🇬🇧 English
Python GIS Google Earth Engine

Job description

About the role

The Centre for Climate Change and Environmental Health (CCEH) at NTU is seeking a Research Associate to advance spatial environmental health research. You will work with a multidisciplinary team to assess how climate change, air pollution, and urban factors influence human health across Singapore and Asia.

Key responsibilities

  • Collect, integrate, and analyse climate, environmental, land‑use, remote sensing, socioeconomic and health data.
  • Apply spatial analysis, machine learning, land‑use regression and spatiotemporal modelling to generate exposure estimates and visual maps.
  • Support the preparation of scientific publications, reports and policy briefs.
  • Collaborate with internal and external research partners to strengthen the evidence base for public‑health and climate‑adaptation strategies.

Required profile

  • Master’s degree in GIS, geography, environmental health, public health, epidemiology, data science, climate science or a related field.
  • Research experience in environmental exposure assessment, spatial analysis, land‑use regression, environmental epidemiology or related areas.
  • Proven ability to work independently and within interdisciplinary teams.

Required skills

  • Proficiency in R and Python for statistical and geospatial analysis.
  • Experience with GIS software and Google Earth Engine.
  • Familiarity with machine‑learning and AI techniques applied to environmental health data.

What we offer

  • Opportunity to contribute to high‑impact research on climate and health.
  • Access to state‑of‑the‑art facilities and interdisciplinary collaboration.
  • Professional development within a leading research centre.

Questions fréquentes

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Source : ats:workday

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Published 1 month ago

Expires 1 week from now

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NTU

Singapore