Complete a documented and validated infectious-disease model, including reproducible code in R, Python or equivalent software.
Submit a final project report to the IDM-Africa coordinating centre at IDI.
Submit a manuscript as lead author to a peer-reviewed open-access journal.
Produce a policy brief as lead author communicating the relevance of the modelling results to policymakers.
Submit regular bi-weekly progress updates and quarterly performance reports via the IDI iBRIDGE system / Virtual Communities of Learning (VCL) platform.
Attend the monthly peer-fellow meetings.
Present progress during quarterly Fellowship review meetings.
Present research findings at a workshop or regional scientific conference and at the annual IDM-Africa policy translation workshop.
Complete all agreed mentorship, reporting and deliverable requirements to receive a certificate of completion.

Academic Qualifications

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.

Person Specification

Eligibility

Applicants must meet all the following criteria:

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.
Applicants affiliated with partner institutions, including institutions at IDI/Makerere University in Uganda or ACE-B/USTTB in Mali, are NOT eligible.

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