Research Fellow in Climate, Environment and Health (28048)

NUS; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is seeking a Research Fellow in Climate, Environment and Health. This role involves conducting innovative research on the impacts of climate change on health, collaborating with experts, and mentoring students. The ideal candidate will have a PhD in a relevant field and a strong background in machine learning and epidemiology. Join a dynamic team to contribute to groundbreaking projects and advance public health research.

Qualifications

• Strong background in machine learning, infectious disease modelling, or quantitative environmental science.
• Demonstrated ability to work effectively in a multidisciplinary team.

Responsibilities

• Conduct high-quality research in epidemiology and machine learning.
• Collaborate with multidisciplinary teams of researchers.
• Present findings at conferences and publish in peer-reviewed journals.

Skills

Machine Learning

Epidemiology

Communication

Education

PhD in Epidemiology

Tools

R

Python

Job description

Job Description

Job Title: Research Fellow in Climate, Environment and Health

Location: Singapore

Salary: Commensurate with experience

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.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is April 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

More Information

Location: Kent Ridge Campus

Organization: Saw Swee Hock School of Public Health

Department : Saw Swee Hock School of Public Health

Employee Referral Eligible: No

Job requisition ID : 28048

Contact list for further enquiries

Hiring Manager: [[A/Prof Kimberly Fornace]]

Hiring Manager Email: [[[e-mail]]]