Advancing the next generation of modeling scientists in West Africa.



At the International Centre for Applied Mathematical Modelling and Data Analytics, we invite scholars from around the globe to become part of our esteemed team. Our application, interview, and selection processes are conducted at various times throughout the year. To submit your application, please select the appropriate category below.

The International Centre for Applied Mathematical Modelling and Data Analytics (ICAMMDA) Welcomes Global Scholars in Pursuit of Internship Opportunities to Elevate Their Mathematical Modelling Proficiency and Gain a Competitive Edge in Their Careers. 

Click here to apply.

The International Centre for Applied Mathematical Modelling and Data Analytics (ICAMMDA) is delighted to invite Visiting Scholars, both Masters and Ph.D. candidates, from across the globe. Join us for an enriching learning journey, sharpen your capabilities, and leverage mathematical modelling to combat infectious diseases. 

We accept applications in three distinct cohorts as detailed below:

Cohort 1: February – April 

        Application Deadline: January 15

 Cohort 2: June – August

        Application Deadline: May 15

  Cohort 3: October – December

        Application Deadline: September 15.

Click here to apply.


With funding from the Bill and Melinda Gates Foundation, we have established the West Africa Mathematical Modelling CApacity Development (WAMCAD): Anglophone-francophone-lusophone. partnership, comprising several international research institutions. Our objective is to enhance technical capacity development in malaria and NTD modelling through a multi- track training program targeting multiple career stages from students to faculty as well as malaria control practitioners. We are therefore recruiting highly motivated individuals who want to develop statistical and mathematical modelling skills for malaria and NTDs modelling research. Candidates will explore the fascinating potential of mathematical modelling to support National Malaria Elimination Programmes (NMEPs).

The International Centre for Applied Mathematical Modelling and Data Analytics at the Federal University Oye Ekiti, Ekiti State, Nigeria is looking for great people with strong quantitative skills and an interest in global health to come work with us! Previous malaria or infectious disease experience is a plus but not required.


We seek two MSc candidates to work on the development, refinement, and application of sophisticated infectious disease models for epidemiological research and intervention campaign planning. As part of the brand-new malaria modelling team at the Federal University Oye Ekiti, the candidates will analyze field, trial, and routine health system data; configure, calibrate, and apply malaria/NTDs transmission models; and design and build new models to answer questions aimed at improving the understanding of disease dynamics, informing effective public health campaigns, and guiding national development of new public-health interventions.

Our team collaborates with academic, NGOs, and the National Malaria Elimination Programs (NMEP), Nigeria, including the Global Malaria Programme at the World Health Organization. As part of the WAMCAD, we work with other leaders in malaria modelling to advise the National Malaria Elimination Programme (NMEP), Abuja, Nigeria on global eradication strategy.


Financial support for full time MSc Candidate:

There is financial support covering the tuition fees, stipend, funding for travel to conferences and relevant courses.


Requirements for full time MSc Candidate:

– The candidates must meet the requirement for MSc programme at FUOYE.

– A BSc degree in a quantitative field (e.g., Applied Mathematics, Statistics, Epidemiology, Quantitative Biology, Physics, Computer Science).

-Experience in numerical analysis, dynamical systems, stochastic processes, machine learning, and/or biostatistics Proficiency in at least one data-analysis or scripting language (e.g., MATLAB, Python, R) will be an added advantage.

-Clear and effective communication of quantitative work to non-experts with good English speaking and writing skills

-Ability to work occasional extended hours to meet a deadline

-Ability to work productively as part of a small team as well as independently drive a project to completion

-Be willing to work as part of an interdisciplinary team

-Willingness to work for short periods outside Nigeria


Optional Skills:

-In depth knowledge of the malaria disease system

-In depth knowledge of issues of public health in developing world settings

-In depth knowledge of principles, techniques, and tools of computational epidemiology

-Experience in C/C++ software development

To submit your application, CLICK HERE

Application Deadline: 04-12-2023 12 noon GMT+1.

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