Malaria Modelling Fellowship 2025/2026 for Public Health Professionals in Nigeria (Funded)

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About Malaria Modelling Fellowship

Build your modelling capacity in a partially funded fellowship designed around your routine work and providing in-demand skills to inform malaria and infectious disease control in Nigeria and globally.

Mathematical modelling is an important tool in the field of infectious disease control. It includes formulating mathematical equations to explain how infectious diseases propagate through populations. Researchers can learn more about how diseases spread and how various preventative strategies may affect disease transmission by examining these models.

The Nigeria Malaria Modelling Fellowship (MMF) is an initiative to build the mathematical modelling capacity of public health professionals in Nigeria. The Fellowship will expose participants to a comprehensive curriculum that includes core modelling content, in-depth knowledge of malaria epidemiology including transmission dynamics, and adjunct modules crucial to enhancing their careers and equipping them with in-demand modelling competence. Funded by the Gates Foundation, the Fellowship is a collaborative effort between Corona Management Systems (CMS), National Malaria Elimination Programme (NMEP), Nigeria Centre for Disease Control and Prevention (NCDC), and the World Health Organization (WHO).

The fellowship objectives are:

• To Increase the number of doctoral and post-doctoral-level trained mathematical modelers with malaria expertise based at Nigerian institutions.
• To Increase the capacity of the National Malaria Elimination Program (NMEP) on modelling approaches as a tool that can support strategic planning and evaluation
• To Increase the capacity of the Nigeria Field Epidemiology Training Program (NFETP) to provide modelling fellowships

• Sponsor Organisation: Corona Management Systems (CMS)

Benefits of Malaria Modelling Fellowship

• The programme will cover tuition and refreshments during in-person training sessions.
• However, fellows or their organisations will be responsible for their own travel, accommodation, and any other personal expenses during the programme. Applicants are encouraged to obtain sponsorship letters from their institutions to ensure their full participation.

Malaria Modelling Fellowship Requirements

Gender

• Male and Female candidates are encouraged to apply.

Education

• Master’s degree or higher in the field of public health, epidemiology (including environmental, parasite, and veterinary epidemiology and related studies), biostatistics, bioinformatics, and applied mathematics.
• OR
• Specialised training in malaria and other infectious disease control programmes, including professionals from public, private, non-profit and non-governmental institutions across the One Health Ecosystem.

Desirable

• Specialised training in quantitative data analysis.

Experience 

Essential

• A current affiliation to a Nigerian public institution working in one health – human health, animal health, and environment.
• At least 5 years’ professional experience.

Desirable

• Post-Docs and Junior Lecturers in Epidemiology and Biostatistics, working in universities, non-profit, and non-governmental organizations.
• Public Health/Community Medicine Resident Doctors in Training, including those affiliated with non-profit and non-governmental organizations.
• Data management specialists from the Malaria Programme, National Stop Transmission of Polio cohorts, Rapid Response Teams, or other emergency preparedness and response teams, including those in non-profit and non-governmental organizations.
• Monitoring and Evaluation staff with expertise in quantitative data analysis, working in Ministries, Departments, and Agencies (MDAs), as well as in non-profit and non-governmental organizations, across the One Health ecosystem.
• Public health officers, biostatisticians and epidemiologists working in public, non-profit and non-governmental organisations

Skills

• Proficiency in the use of Microsoft Excel.
• Ability to communicate effectively in verbal and written English.
• Demonstrable problem-solving skills and ability to work effectively with minimal supervision.

Application Date and Process

• Click on the link to the application website to apply.

For more information or inquiries, please contact them by: Email: [email protected]

Application Deadline

20 July, 2025

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