
Research Fellow
2 days ago
Job Description
**Job Title**:Research Fellow (Mathematical&Economic Modelling of Infectious Diseases)
**Posting Start Date**:21/08/2025
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Fellow for Saw Swee Hock School of Public Health
- Job scope:
- Lead and contribute to high-quality research on infectious disease modelling and health economic evaluations.
- Design, develop, and extend mathematical, epidemiological, and economic models for evaluating infectious disease interventions, including pandemic preparedness and vaccine cost-effectiveness.
- Develop and execute independent research projects aligned with the School’s strategic priorities (e.g., vaccine-preventable disease with pandemic potential).
- Produce high-impact peer-reviewed publications, including as first and senior author.
- Collaborate with international teams of modellers, economists, and public health experts.
- Supervise and mentor junior researchers and PhD students.
- Disseminate research findings at international conferences, workshops, and policy meetings with key partners.
- Participate in the academic life of SSHSPH and contribute to teaching and capacity building where appropriate.
- Requirements:
- Demonstrated expertise in infectious disease modelling and/or health economic evaluation, supported by peer-reviewed publications in high-quality journals.
- Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia).
- Excellent quantitative and analytical skills, with experience handling complex datasets and conducting statistical analyses.
- Strong writing and communication skills, with experience presenting to technical and non-technical audiences.
- Ability to work independently and collaboratively in multidisciplinary teams across different countries and cultures.
- The following knowledge and experience would be advantageous:
- Experience supervising students or mentoring junior colleagues.
- Experience with teaching and assessment (desirable but not essential).
- Experience with epidemiological modelling of infectious diseases.
- Experience with data analysis using statistical inference techniques.
- Experience with health economic evaluations.
- Experience with parallel and/or high-performance computing.
- Familiarity with agent-based and compartmental models for infectious diseases.
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees
**Qualifications**
- A doctoral degree (PhD, DPhil, or equivalent) in Epidemiology, Biostatistics, Mathematical Modelling, Health Economics, Public Health, or a related quantitative discipline.
**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 : 30090
**Contact list for further enquiries
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