Participate in the KSA’s Capacity Building in AI Algorithms for Space

Source: KSA

The Kenya Space Agency (KSA) in collaboration with STAR.VISION Aerospace Limited, is organising a joint development programme to train Kenyan University students in the development of on-orbit AI algorithms starting from June 2024.

The KSA invites students in their third or fourth year of studies in space-related fields (such as Electrical and Electronics Engineering, Mechanical Engineering, Aerospace, Aeronautics, Geospatial Engineering, Computer Engineering, and Information Technology) to form groups of up to FIVE (5) members. These groups are encouraged to submit their topics of interest in Earth Observation, which may include areas like maritime surveillance, urban management, land change monitoring, land use classification, forest fire monitoring, and crop recognition.

The team will be expected to identify and submit their topic of interest by 24 June 2024 for review. The team will then receive hands-on training on building AI algorithms for space, which will be tested on board STAR.VISION satellites.

The focus theme of the Rideshare Programme will be “Deploy AI in Space”. The primary objectives of this program encompass the following:

  1. Development of on-orbit AI algorithms;
  2. Training of AI engineers; and
  3. Advancement of spacecraft efficiency.

By participating in this project, you will gain access to the latest and most advanced AI satellite platform in the world. The training is part-time for eight months. 

Important Dates
  • Programme launch: 19 June 2024;
  • Application Deadline: 12:00 pm EAT on 24, June 2024;
  • Algorithm development: June – August, 2024;
  • Algorithm ground testing: September 2024;
  • Algorithm on-orbit testing: October – November, 2024;
  • Completion of Algorithm evaluation: December 2024; and
  • Award of Achievement Certificates: January 2025
How to Apply

To participate, interested candidates must fill out this online form.


For clarification and further information, reach out to:

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