• Understand the relationships between environmental change, disease dynamics, and health systems.
• Optimize malaria intervention strategies to improve effectiveness and coverage.
• Develop early warning systems for malaria risk.
• Build sustainable modelling capacity within African institutions.

B. Task to be performed

The Post-doc will:

• Develop and implement innovative modelling frameworks relating multiple malaria and climate data sets.
• Provide technical guidance on mathematical and statistical methods.
• Collaborate with local health agencies and national malaria programs (NMPs) to translate modelling outputs into actionable public health strategies.
• Strengthen the modelling capacity of local research institutions through knowledge transfer and training.

C. Qualification

i). Essential
• PhD in geostatistics, biostatistics, mathematics, infectious disease modeling, mathematical modeling, climate science, or a any other quantiatively related discipline with epidemiological know-how.
• Proficiency in mathematical, geostatistical and computational modeling, particularly in infectious diseases or vector-borne diseases.
• Proficiency in one or more programming languages (e.g., R/Python, Stata), knowledge of other statistical software and data visualization applications.
• Demonstrable commitment to using best practices in writing code, including the use of source control, code documentation/repositories, and coding standards.
• Experience of working with national disease programs, and managing relationships with senior stakeholders, data owners, and collaborators.
• Excellent communication skills (oral and written) in both a professional and courteous manner.
• Ability to manage own academic research, mentoring junior staff, define and meet milestones on time.
• Demonstrable evidence of having worked successfully within a collaborative, team-based research setting.
• Familiarity with implementation science, including iterative response models and adaptive planning.
• Experience with knowledge synthesis, such as conducting literature reviews and evidence synthesis, to support model assumptions and fill gaps in data and parameters.

ii. Desirable
• Previous experience working on malaria or other mosquito-borne diseases, especially with vector control or malaria biology.
• Track record of scientific publications in high-quality peer-reviewed journals in the areas of epidemiology, modeling, or health system research.
• Knowledge and experience in working with ministries of health in LMICs, NMPs, funding agencies, and bilateral organizations.
• Experience in developing and delivering training for different audiences.
• Familiarity with climate and meteorological data and experience with climate modeling.
• A demonstrated commitment to capacity-building and strengthening institutional networks within African research institutions.

D. Term of Service:
This is a 1-year contract vacancy with the potential to be renewed based on performance, availability of funds, and mutual agreement.

E. Duty Station:
The successful candidate will be stationed at the Osun State University, Osogbo, Nigeria.

F. Submission
The candidate should submit their application letter, curriculum vitae and scanned copy of the credentials as a single document. The curriculum vitae should contain basic biodata, academic qualifications, training and experience in modelling, published articles and referees. The application should be submitted to and copy and

G. Closing Date: October 30, 2025

Note: Only shortlisted candidates will be contacted

For further information, please contact Dr O.A Adeogun (Country Lead) – and Prof. M.A Adeleke (Project Manager) –