Research Fellow (Climate, Environment and Health)

7 Feb 2024
Job Information

Organisation/Company

NATIONAL UNIVERSITY OF SINGAPORE

Research Field

Computer science
Geography

Researcher Profile

First Stage Researcher (R1)

Country

Singapore

Application Deadline

7 Mar 2024 - 00:00 (UTC)

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
Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/364993/research-fellow-cli…

STATUS: EXPIRED