Deadline: 1 June 2021
Open to: African nationals with a Master’s degree in mathematics, statistics, computer science, engineering, physics or other relevant fields
Benefits: fully funded PhD
This 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.
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.
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.
Candidates can choose from a list of proposed research topics, and AIMS will assist in building a supervision team around these topics. Alternatively, candidates can suggest their own research topics, together with a proposed supervision team. Selected students will start in Oct/Nov 2021.
The PhD degree will be fully funded (stipend, equipment, health insurance, relocation costs, conference attendance, direct cost to graduating institution such as tuition fees and registration fees). International co-supervision partnerships and additional training in research skills and transferable skills will also be provided.
For more information, visit the official website.