About Malaria Modelling Fellowship

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 Bill and Melinda Gates Foundation (BMGF), 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 Organisation (WHO).

Requirements

Education

i. Essential

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.

ii. Desirable:

Specialised training in quantitative data analysis.

Skills

1. Proficiency in the use of Microsoft Excel.

il. Ability to communicate effectively in verbal and written English; and

iii. Demonstrable problem-solving skills and ability to work effectively with minimal supervision.

Experience

Essential

i. A current affiliation to a Nigerian public, private, non-profit or non-governmental institution working in one health-human health, animal health, and environment; and

ii. At least 5 years’ professional experience.

Desirable

1. Post-Docs and Junior Lecturers in Epidemiology and Biostatistics, working in universities, non-profit, and non-governmental organisations.

ii. Public Health/Community Medicine Resident Doctors in Training, including those affiliated with non-profit and non-governmental organisations.

iii. Data management specialists from infectious disease control programmes, or other emergency preparedness and response teams, including those in non-profit and non-governmental organisations.

iv. 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 organisations, across the One Health ecosystem.

v. Public health officers, biostatisticians and epidemiologists working in public, non-profit and non-governmental organisations

Benefits Funding

A. The programmé will cover tuition and refreshments during in-person training sessions.

B. 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

Application Deadline July 20, 2025

Method of Application

Interested and Qualified should go click bottom below to apply.

CLICK HERE TO APPLY 

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