CNES (Centre National d’Études Spatiales)

Challenging signal modelling assumptions and building a new hydrological simulator.

Project Details

CNES partnered with auticon to challenge signal modelling assumptions and develop a new hydrological simulator.

Country:France
Industry:Aerospace & Defense
Engagement:Algorithm Development | Data Science | Data Services | Simulation | Software Development

About

CNES is the French government space agency responsible for proposing and implementing France’s space policy across science, defence, telecommunications, and Earth observation.

The Challenge

The client required advanced theoretical expertise in physics and mathematics to review and improve signal inversion algorithms for oceanographic satellite data (CFOSAT) and later to develop a simulator for hydrological instrumentation.

The Solution

auticon deployed technologists for two missions: one delivering critical analysis and improved signal processing algorithms, the other developing a simulator with remote collaboration, supported throughout by a job coach to facilitate communication and onboarding.

The Benefits

  • Delivered new scientific algorithms
  • Enabled remote-first collaboration
  • Improved team understanding of neuroinclusion

The Highlights

  • Technologist’s strong academic background enabled rapid value delivery
  • Job coach facilitated team education and adaptation
  • Missions extended based on successful outcomes>

Social Impact

The engagement reduced stigma around autism in high-skill environments and demonstrated that neurodivergent technologists can work seamlessly within research teams.

Thanks to her solid background, she quickly understood our problem and was able to propose new inversion solutions… It all went extremely well in both experiences.

Céline Tison
Radar Processing Manager, CNES
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