Opportunities
Opportunities
Calls for applications, fellowships, and training opportunities
CALL FOR APPLICATIONS: IDM-AFRICA FELLOWSHIP PROGRAMME IN INFECTIOUS DISEASE MODELLING
Deadline: 30 October 2026 at 20:59
IDM-Africa invites applications from early- and mid-career scientists in sub-Saharan Africa (SSA) for its annual Fellowship Programme in infectious-disease modelling. The Fellowship supports scientists who already have foundational training and practical experience in infectious-disease modelling to develop an applied, policy-relevant modelling project using their own data. Fellows will receive structured mentorship from leading modellers, infectious-disease experts and policy specialists at partner institutions. The partner sites are The Infectious Diseases Institute (IDI) at Makerere University; University of Sciences, Techniques and Technologies of Bamako (USTTB) and Amsterdam University Medical Center (UMC) with their corresponding training sites being The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala-Uganda (ACE-Uganda); The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Bamako-Mali (ACE-B); and The Amsterdam Institute for Global Health and Development (AIGHD).
Eligibility
- Be affiliated with an institution located in sub-Saharan Africa and within the EDCTP Association.
- Be resident in, or willing to relocate to, an eligible sub-Saharan African country for the Fellowship placement.
- Hold a master’s degree in a quantitative discipline - such as mathematics, physics, data science or statistics or a health-related field, together with short-term training in infectious-disease modelling. Candidates holding or pursuing a PhD in these disciplines are also eligible to apply.
- Have practical experience in infectious-disease modelling, including having led a substantial component of a modelling-related project, particularly the mathematical-modelling component.
- Be proficient in at least one modelling platform or programming language, such as R, Python or MATLAB, and be able to manage datasets, formulate models, run simulations and interpret results.
- Demonstrate a clear commitment to a career in infectious-disease modelling and its application to public-health challenges.
- Be willing and able to work in interdisciplinary teams, including with epidemiologists, public-health officers, modellers and policymakers.
- Be available for the full one-month in-person placement and the subsequent 11 months of online mentorship.
- Commit to completing the agreed Fellowship outputs.