A training initiative organised by the South African Radio Astronomy Observatory (SARAO)
The Big Data Africa School aims to introduce fundamental data science tools & techniques to talented young science and engineering graduates across a range of disciplines, who have an interest to develop their skills and knowledge in working efficiently on extremely large datasets in any research environment.
The 5th Big Data Africa School will allow students to work on real-life data sets (e.g. satellite imagery, remote sensing, aerial photography and/or localised ground station data) in the area of Earth observation by applying the most advanced machine learning techniques in trying to solve some of the biggest challenges facing the African continent.
Who can apply?
Eligible countries* – South Africa, Botswana, Ghana, Namibia, Kenya, Mauritius, Madagascar, Mozambique, Zambia
- Students currently undertaking their 4th year BSc Honours or final year BEng degree, Master of Science or PhD degree in: Earth observation/ Geo-information science/ Environmental science/ Geographical Information Systems/ Remote sensing/ Computer Science/ any degree in the Physical, Natural and Applied Sciences.
- South African students and students having nationality from any of the 8 Square Kilometre Array (SKA) Africa partner countries* are eligible for this opportunity.
- Students must be currently registered at a university in Africa.
- Intermediate to advanced programming skills will be advantageous to the applicants. Python will be the programming language used in most projects at the Big Data Africa school.
Application enquiries can be emailed to bigdataschool@ska.ac.za
Partners and Contributors
The 5th Big Data Africa School is funded by the UK’s International Science Partnerships Fund through the Development in Africa with Radio Astronomy (DARA) project.
View and download the Brochure below
View and download the Digital Booklet below
For more information contact:
Dr Bonita de Swardt
Programme Manager: Strategic Partnerships for Human Capital Development
Email: bonita@sarao.ac.za