We are recruiting a Senior Research Fellow in Infectious Disease Modelling to join a collaborative research programme in partnership with the Modelling and Simulation Hub Africa (MASHA) at the University of Cape Town, led by Professor Sheetal Silal. The post holder will contribute to two major initiatives: Malaria Modelling and Analytics: Leaders in Africa (MMALA), which strengthens modelling capacity to support malaria policy and decision-making across Sub-Saharan Africa, and Integrated Environmental Surveillance Implementation in South Africa (IESISA), which applies mathematical modelling to wastewater surveillance for vaccine-preventable diseases. The successful candidate will develop and lead policy-focused infectious disease modelling research, with a particular emphasis on vector-borne and vaccine-preventable diseases. The role involves designing and implementing novel modelling methodologies, analysing complex qualitative and quantitative data, publishing in peer-reviewed journals, and presenting research at conferences and seminars. The post holder will contribute to postgraduate teaching and supervision, mentor early-career researchers, lead and support grant applications, manage research budgets, and work closely with national and international partners, including government stakeholders, to translate modelling evidence into policy and practice. To be successful in this role, you will hold a PhD in applied infectious disease modelling or a closely related discipline, with demonstrated experience developing models for vector-borne and vaccine-preventable diseases. Applicants should have a strong publication record, experience applying infectious disease and/or health economics models in LMIC settings, and a proven ability to engage policymakers and governments to inform health policy. Experience in postgraduate teaching and curriculum design, the ability to independently manage research projects and budgets, and a track record of securing competitive research funding are essential. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date. This position is offered full time on a fixed term contract for 12 months until 28 Febraruy 2027. Only applications received before 12 midday on Monday 12 January 2026 will be considered. Please quote 181681 on all correspondence.