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Research Fellow (Climate, Environment and Health)

Times Higher Education
7 Feb 2024

Job Information

Organisation/Company
NATIONAL UNIVERSITY OF SINGAPORE
Research Field
Computer science
Sociology
Ethics in health sciences
Geography
Researcher Profile
First Stage Researcher (R1)
Country
Singapore
Application Deadline
Type of Contract
Other
Job Status
Full-time
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?
No

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: https://sph.nus.edu.sg/research/climate-environment-and-health-programme/

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.

Qualifications

  • 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

Requirements

Additional Information