Foundational Methods in Data Science 2022

The African Institute for Mathematical Sciences Rwanda (AIMS Rwanda) is inviting applications for the graduate training school “Foundational Methods in Data Science” scheduled from March 6, 2022 to April 2, 2022 at AIMS Rwanda in Kigali. Organized around six (6) core courses, and additional training components, the highly interactive training school will bring 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, and control and dynamical systems. The training school will provide a platform for researchers and data scientists to interact in an interdisciplinary and transdisciplinary environment

How to apply

Interested candidates are invited to send their details (CV and motivation letter detailing how the training school would be useful to them) to applications@quantumleapafrica.org with ‘Data Science Training School application’ in the subject line by 28 January 2022. Due to limited capacity, only a few applicants will be selected for in-person participation. Please note that travel costs will not be covered, and only limited funding is available to cover local costs. Full COVID19 vaccination is required for in-person attendance.

Scientific committee

1. Franca Hoffmann, DTP-DS Management Board, Research Chair in Data Science (QLA, AIMS Rwanda), Professor of Mathematics (University of Bonn, Germany)
2. Emmanuel Masabo, Head of PhD programme and Research (African Centre of Excellence in Data Science), Lecturer (University of Rwanda, Rwanda)
3. Bubacarr Bah, DTP-DS Management Board, Research Chair (AIMS South Africa)
4. Issa Karambal, DTP-DS Management Board, Junior Research Chair in Data Science (QLA, AIMS Rwanda)
5. Philipp Berens,Professor of Data science for Vision Research Institute for Ophthalmic Research, University of Tubingen Cluster of Excellence ‘’Machine Learning-
New Perspectives for science’
6. Dina Z. Machuve , Senior Lecturer – School of CoCSE, Nelson Mandela African Institution of Science and Technology – Arusha Tanzania

Local Organizing committee

Schedule Overview

-Peter J Diggle – CHICAS, Lancaster University
-Philipp Berens – University of Tübingen
-Tryphon T. Georgiou – University of California, Irvine
-David Stern – IDEMS International
-Leon Bungert – University of Bonn
-Bubacarr Bah – AIMS South Africa
-Raphael Hauser – Mathematical Institute, University of Oxford