IDM-Africa Fellowship Programme 2027 for Infectious-Disease Modellers in Sub-Saharan Africa

IDM-Africa Fellowship

IDM-Africa Fellowship Programme 2027 for Infectious-Disease Modellers in Sub-Saharan Africa

Brief Description

Applications are open for the IDM-Africa Fellowship Programme 2027, an initiative tailored for early- and mid-career scientists across sub-Saharan Africa. The 12-month program targets researchers who possess foundational training and practical expertise in infectious-disease modelling, offering them the resources to design applied, policy-relevant research using their own data. Selected fellows access structured mentorship from leading modellers and disease experts to translate mathematical models into tangible public health policy tools. If you are seeking an infectious-disease modelling fellowship or a sub-Saharan Africa scientists fellowship 2027, this structured track provides both technical validation and regional policy engagement.

Name of Host Institution

The program is coordinated by The Infectious Diseases Institute (IDI) at Makerere University in partnership with the University of Sciences, Techniques and Technologies of Bamako (USTTB) and Amsterdam University Medical Center (UMC). In-person placements take place at host training sites including ACE-Uganda (Kampala) and ACE-B (Bamako-Mali), with additional mentorship supported by the Amsterdam Institute for Global Health and Development (AIGHD).

Requirements/Eligibility Criteria

  • Hold an affiliation with an institution located in sub-Saharan Africa that falls within the EDCTP Association.
  • Reside in, or show willingness to relocate to, an eligible sub-Saharan African country for the duration of the one-month placement.
  • Hold a master’s degree or PhD (or be currently pursuing a PhD) in a quantitative discipline such as mathematics, physics, data science, or statistics, or a health-related field paired with short-term training in infectious-disease modelling.
  • Demonstrate practical experience in infectious-disease modelling, including having led the mathematical component of a project.
  • Possess proficiency in at least one relevant programming language or platform, such as R, Python, or MATLAB, with proven ability to formulate models and manage datasets.
  • Show a dedicated career commitment to public health application and disease modelling in Africa.

Fellowship Structure

The fellowship spans 12 months, beginning with a one-month in-person placement at either ACE-Uganda or ACE-B for intensive project creation alongside assigned mentors. The remaining 11 months consist of remote mentorship, featuring bi-weekly mentor sessions, peer-learning groups, monthly updates, and formal quarterly review meetings.

Key Deliverables

  • A fully validated infectious-disease model with reproducible code in R, Python, or equivalent software.
  • A completed project report submitted directly to the IDM-Africa coordinating centre at IDI.
  • A peer-reviewed manuscript submitted to an open-access journal as lead author.
  • A lead-author policy brief detailing public health recommendations for regional decision-makers.
  • Active presentation of research findings at a regional scientific workshop and the annual IDM-Africa policy translation workshop.

Deadline

October 30, 2026

Apply Now

💡 Quick FAQ & IntelligenceTap to Expand

Q: What is the duration and location of the IDM-Africa Fellowship Programme 2027?

The fellowship lasts 12 months, starting with a one-month in-person placement at ACE-Uganda in Kampala or ACE-B in Bamako, Mali, followed by 11 months of online mentorship.

Q: Who is eligible to apply for the IDM-Africa Fellowship?

Early- and mid-career sub-Saharan African scientists affiliated with an EDCTP Association member institution who hold a master's or PhD in a quantitative or health-related field with modelling experience.

Q: What programming tools are required for applicants?

Applicants must be proficient in at least one standard modelling platform or language, such as R, Python, or MATLAB, to formulate models and run simulations.

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