Doctoral Training School in Foundational Methods in Data Science (PhD, Masters, Postdoc) African Institute for Mathematical Sciences in

The African Institute for Mathematical Sciences (AIMS) is now accepting applications for the 4th Doctoral Training School on Foundational Methods in Data Science, to be held in Kigali, Rwanda, from March 8 to April 3, 2026. This intensive program is designed for early-stage PhD students, advanced master's students, and postdoctoral researchers who are interested in deepening their understanding of foundational methods in mathematics, statistics, machine learning, and artificial intelligence. The training school combines rigorous theoretical instruction with hands-on problem-solving sessions, providing participants with a comprehensive learning experience in data science.

The curriculum covers a range of topics including mathematical foundations, statistical methods, machine learning algorithms, and artificial intelligence techniques. Participants will have the opportunity to engage with leading researchers and peers from around the world, fostering a collaborative and intellectually stimulating environment. The program is fully funded through excellence scholarships, which cover participation costs and may include travel and accommodation support for selected candidates.

Eligibility is open to early-stage PhD students, advanced master's students, and postdoctoral researchers with a strong academic background in relevant fields. Applicants are expected to demonstrate academic excellence and a keen interest in foundational methods in data science. The application deadline is January 9, 2026, at 11:59 pm Kigali time. Interested candidates should apply through the AIMS application portal and ensure all required documents are submitted before the deadline.

For more information and to apply, visit the official application portal at https://applications.aimsric.org/. This is an excellent opportunity for aspiring researchers to advance their expertise in data science and connect with a global network of scholars.