Research Fellow in Infectious Disease Modelling and Machine Learning for Public Health
The National University of Singapore's Saw Swee School of Public Health (NUS) seeks a dedicated, skilled research fellow to join its multidisciplinary team. This position offers a unique opportunity to participate in innovative research projects on various topics such as infectious disease modelling, phylogeny, and characterizing human mobility patterns. The project allows you to collaborate with school personnel (sph.nus.edu.sg/research), the Institute of Data Science (ids.nus.edu.sg/), and global leaders (mlgh.net/). More information about Swapnil Mishra can be found here: https://smishra.dev/
Key Responsibilities:
• Conduct high-quality research in infectious disease modelling, human mobility patterns, and/or machine learning applied to public health and global health.
• Develop and implement computational models, statistical methods, and machine learning algorithms to analyze infectious disease data.
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, machine learners, biostatisticians, and public health experts.
• Analyze large-scale datasets to generate insights into human mobility patterns using survey, mobile, or social media data.
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals.
• Assist in the supervision and mentoring of junior researchers.
• Contribute to grant proposals and progress reports for funding agencies.
Interested applicants should submit the following documents during the application:
• A cover letter explaining your interest in the position, relevant experience, and research interests.
• A comprehensive curriculum vitae, including a list of publications (if applicable).
• A brief research statement (maximum two pages) outlining your research experience and future aspirations.
• Contact information for two professional references who can provide letters of recommendation upon request.
Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2024, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance and funding availability.
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.
In case of any questions or queries, please do not hesitate to contact Ass. Prof Swapnil Mishra at ‘swapnil dot mishra at nus dot edu dot sg’ with the subject line ‘Research Fellow in Infectious Disease Modelling, and Machine Learning for Public Health’.
