PhD Research Fellowship: Applications Closed
PhD Research Fellowship: Epidemiological Modelling
Stellenbosch University & University of Antwerp
Stellenbosch University (SU) is firmly committed to the pursuit of knowledge, research, and innovation, in service of society. We provide a world-class centre for learning and development, globally relevant yet rooted in the upliftment and transformation of our local communities.
Join the South African Centre for Epidemiological Modelling and Analysis (SACEMA) at the Centre for Epidemic Response and Innovation (CERI) in advancing health through innovative epidemiological modelling.
We are looking for a quantitative scientist with excellent programming skills to undertake epidemiological modelling of hepatitis B virus in South Africa:
- Quantification of the burden of hepatitis B in the general population, and vulnerable populations such as pregnant women, children, and people living with HIV.
- Progress towards the World Health Organization’s hepatitis B elimination targets, brought about by vaccination since 1995.
- Impact and cost-effectiveness analysis of alternative vaccination and test-and-treat strategies.
Join a team of leading interdisciplinary researchers from Stellenbosch University and the National Institute for Communicable Diseases (NICD) in South Africa, and the University of Antwerp in Belgium.
This fellowship, funded by a competitive international grant led by Dr Cari van Schalkwyk (SACEMA) and Prof Lander Willem (University of Antwerp), will inform policy decisions on hepatitis B prevention through interaction with the South African National Advisory Group for Immunisation and the National Department of Health.
- Appointment: At CERI, School for Data Science and Computational Thinking, Stellenbosch University.
- Fellowship award: R300,000 per year for up to 3 years, tax-free.
- Location: Stellenbosch, South Africa, with research visits to the University of Antwerp, Belgium.
- Start date: 1 January 2025
Minimum requirements:
- Research Masters in Mathematical Statistics, Epidemiology, Econometrics, Data Science, Mathematical Modelling, or a closely related quantitative field.
- Thorough knowledge of English, both oral and written.
Recommended skills:
- Experience programming in C++ or a similar language
Application Deadline: 08 September 2024
For more information on the application process, please contact SACEMA Training Coordinator, Faikah Bruce: faikah@sun.ac.za
