The Centre National d’Etudes Spatiales (CNES) is France’s national space agency with its headquarters in Paris, and is under the supervision of the French Ministries of Defence and Research. It has an annual budget of €2.438 billion, which is second in size only to NASA’s.
It is most well-known for designing the Ariane 5 heavy-lift launch vehicle, as well as the SPOT family of Earth Observation satellites. CNES is currently working on a new generation of satellites, such as Taranis, the first satellite designed to observe luminous, radiative and electromagnetic phenomena occurring above thunderstorms, and SWOT, jointly developed with NASA which will be used to monitor the Earth’s lakes and rivers.
It is most well-known for designing the Ariane 5 heavy-lift launch vehicle, as well as the SPOT family of Earth Observation satellites. CNES is currently working on a new generation of satellites, such as Taranis, the first satellite designed to observe luminous, radiative and electromagnetic phenomena occurring above thunderstorms, and SWOT, jointly developed with NASA which will be used to monitor the Earth’s lakes and rivers.
The Department of Communications and Computer Engineering at the University of Malta, in collaboration with CNES, will make available a funded M.Sc. by Research for students who are in possession of at least an undergraduate degree in Computer Engineering, Computer Science, or related areas.
The selected candidate will have the opportunity to undergo a 6-month internship at CNES in Toulouse, France. The aim of the project involves the use of machine learning and AI techniques to process data from Sentinel-2 satellites, which provide optical imagery at 10 metre resolution, for crop and vegetation classification (agricultural land cover mapping). The Sentinel satellites form part of the Copernicus programme, which is coordinated by the European Union and the European Space Agency.
The selected candidate will have the opportunity to undergo a 6-month internship at CNES in Toulouse, France. The aim of the project involves the use of machine learning and AI techniques to process data from Sentinel-2 satellites, which provide optical imagery at 10 metre resolution, for crop and vegetation classification (agricultural land cover mapping). The Sentinel satellites form part of the Copernicus programme, which is coordinated by the European Union and the European Space Agency.
This M.Sc. project, at the University of Malta, will be funded through the SATINET project and CNES. Project SATINET financed by the Malta Council for Science & Technology, for and on behalf of the Foundation for Science and Technology, through the MCST-CNES Space Bilateral Fund.
Interested students are to contact Dr Ing. Reuben Farrugia and Dr Ing. Gianluca Valentino by 15 October 2019.