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  • Writer's pictureTKI


APPLY: 14 April 2023

The new Doctoral Training Program in Data Science (DTP-DS) is established by Quantum Leap Africa (QLA) at the African Institute for Mathematical Sciences (AIMS) Rwanda in collaboration with top researchers from across the globe.

AIMS will be offering up to seven fully-funded PhD positions in this prestigious new doctoral program. The recruited students will be based in Rwanda at AIMS Rwanda, or any of the other AIMS centers, in partnership with universities and research institutions across Africa and globally. The program aims to train future change-makers, who will have an impact across academia, industry, education, and government.

The field of data science is emerging as a critical discipline with high relevance to economic growth and development. This doctoral training program established by AIMS will provide emerging African scientists the opportunity to conduct research at the forefront of data science, and work towards a PhD degree within a high-quality training program in Africa, in cooperation with institutions internationally.

The program will focus on theoretical foundations of data science as well as applications of data science to improve the daily lives of Africans. It is built on the understanding that modern approaches in data science require a combination of expertise spanning the areas of mathematics, statistics, computer science, and the applied sciences.

Eligibility criteria

  • Master’s degree (completed by Sept 2023) in mathematics, statistics, computer science, engineering, physics or other relevant fields;

  • Sufficient theoretical foundations evidenced by prior work (courses/thesis/other training);

  • Qualification for pursuing research on the chosen topic, including relevant programming expertise;

  • Research potential evidenced by academic performance and involvement in relevant academic activities;

  • Motivation for pursuing a PhD by research in the suggested topic;

  • Being an African national.


  • Length of program: 4 years

  • Fully funded (stipend, equipment, health insurance, relocation costs, conference attendance, direct cost to graduating institution such as tuition fees and registration fees)

  • International supervision teams from well-known research institutions

  • Research topics that push the boundaries of data science (focused on AI/ML and/or health)


You will be asked to submit the following documents

  • Application Form

  • CV (you can use your own format, but please make sure to cover at least all items mentioned in this template that apply to your case)(This document is not editable. Please download or create your own.)

  • Transcripts (Please submit both your undergraduate and your masters level transcripts. Additional transcripts can be submitted if relevant. )

As part of the application form, you will be able to

  • Select or suggest a research topic

  • Name two academics (ideally senior researchers), who are willing to write a letter of support

  • Indicate whether you already are admitted at a university or otherwise have future plans that you consider to combine with this program

For the OCTOBER 2023 cohort, the research will focus on: General Data Science (G). Topics you can choose to focus your research on are:

  1. Accelerating multitask reinforcement learning with attention mechanisms(G)

  2. Quantum Topological Data Analysis (G)

  3. Physics Informed Learning Machines with application in climate science (G)

  4. Federated learning handling EEG data spread in Africa and Europe (G,H)

  5. How the human embryo develops: combining mathematical modelling and data science (G,H)

  6. Identification of new cervical cancer gene signatures and predictors of clinical outcome using machine learning techniques (G,H)


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