| STARTS: | March 10th, 2024 |
| ENDS: | April 6th, 2024 |
The African Institute for Mathematical Sciences Research and Innovation Centre in Rwanda (AIMS RIC) is inviting applications for the doctoral training school “Foundational Methods in Data Science” scheduled from March 10, 2024 to April 6, 2024 at AIMS Rwanda in Kigali. Organized around four (4) core courses, several special topics courses and additional training components.
This training schools will be highly interactive as it brings together renowned international and national academics, researchers and graduate students, working on topics relevant to modern data science, including machine learning and artificial intelligence, their mathematical theories and numerical implementations, using methods from statistics, optimization, functional analysis, numerical analysis and linear algebra, with a focus on practicals and hands-on problem solving sessions. The training school will provide a platform for researchers and data scientists to interact in an interdisciplinary and trans-disciplinary environment.
HOW TO APPLY
Interested candidates should submit their application to https://applications.aimsric.org/ by 12th February 2024 11:59pm Kigali time.
Please ensure to complete your profile as accurately as possible. Each applicant will automatically be considered for one of our fully-funded excellence scholarships covering travel and accommodation costs. Due to limited capacity, only a few applicants will be selected for in-person participation.
Franca Hoffmann, California Institute of Technology
Cecil Ouma, AIMS Research and Innovation Centre
Issa Karambal, AIMS Research and Innovation Centre
Emmanuel Masabo, African Centre of Excellence in Data Science, University of Rwanda
Tim Brown, Carnegie Mellon University Africa
- Franca Hoffmann, California Institute of Technology
- Cecil Ouma, AIMS Research and Innovation Centre
- Issa Karambal, AIMS Research and Innovation Centre
- Emmanuel Masabo, African Centre of Excellence in Data Science, University of Rwanda
- Tim Brown, Carnegie Mellon University Africa
- Wilfred Ndifon, AIMS Research and Innovation Centre
- Bubacarr Bah, Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine
- Peter Diggle, Lancaster University
- Philipp Berens, University of Tübingen
- Sophie Dabo-Niang, University of Lille
- Vicky Kondi, AIMS Research and Innovation Centre
- Franca Hoffmann, California Institute of Technology
- Cecil Ouma, AIMS Research and Innovation Centre
- Issa Karambal, AIMS Research and Innovation Centre
- Emmanuel Masabo, African Centre of Excellence in Data Science, University of Rwanda
- Tim Brown, Carnegie Mellon University Africa
- Wilfred Ndifon, AIMS Research and Innovation Centre
- Bubacarr Bah, Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine
- Peter Diggle, Lancaster University
- Philipp Berens, University of Tübingen
- Sophie Dabo-Niang, University of Lille
- Vicky Kondi, AIMS Research and Innovation Centre
- Cecil Ouma [Co-Chair]
- Franca Hoffmann, [Co-Chair]
- Winnie Nakiyingi
- Yves Bonheur Mugiraneza
- Alison Karungi
- Isambi Sailon Mbalawata
- Molly Mutesi
