Research Fellow (Climate, Environment and Health)

Updated: 2 months ago
Job Type: FullTime
Deadline: 07 Mar 2024

7 Feb 2024
Job Information

Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)

Application Deadline

7 Mar 2024 - 00:00 (UTC)
Type of Contract

Job Status

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Job Description

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary programme on climate, environment and health. This position offers the opportunity to work on ground-breaking research projects in the broad areas of climate change and epidemiology, machine learning and global health. This work will allow you to collaborate with a broad range of people at the School of Public Health as well as public health professionals and environmental scientists across Southeast Asia. More details on the programme are available at:

Key responsibilities:

  • Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on health;
  • Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and health data;
  • Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
  • Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
  • Assist in the supervision and mentoring of graduate students and junior researchers; and
  • Contribute to grant proposals and progress reports for funding agencies.


  • A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
  • Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
  • Proficiency in programming languages such as R or Python;
  • Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
  • Interest in climate and environmental change and sustainability;
  • Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
  • Demonstrated ability to work effectively in a multidisciplinary team and independently; and
  • Track record of publications in peer-reviewed journals.

More Information
Location: Kent Ridge Campus
Organization: National University of Singapore
Department : Saw Swee Hock School of Public Health
Job requisition ID : 23630

Additional Information
Where to apply


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