15

Jobs at Cnes in France

Autonomous Space Crop AI: Offline ML for LSS Optimization

CNES

Toulouse
On-site
EUR 40,000 - 60,000
2 days ago
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26-071 COSMOS - Crop Optim. in Space w/ ML & Offline computation of Strategies

CNES

Toulouse
On-site
EUR 40,000 - 60,000
2 days ago
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Contrôleur de Projet Spatial — Budget & Planning

CNES

Toulouse
On-site
EUR 40,000 - 55,000
2 days ago
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Contrôleur de projet Transport Spatial H/F

CNES

Toulouse
On-site
EUR 40,000 - 55,000
2 days ago
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Expert Exploitation & Efficacité Énergétique - Spatial

CNES

Toulouse
On-site
EUR 40,000 - 60,000
3 days ago
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Expert Exploitation et Performance énergétique F/H

CNES

Toulouse
On-site
EUR 40,000 - 60,000
3 days ago
Be an early applicant

Multisensor Bathymetry Fusion & Intrinsic Uncertainty

CNES

Toulouse
On-site
EUR 30,000 - 40,000
10 days ago

26-215 Multisensor/method fusion to estimate bathymetry and intrinsic certainty

CNES

Toulouse
On-site
EUR 30,000 - 40,000
10 days ago
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PhD: Multiphysics LES of Cryogenic Jet Flash-Boiling

CNES

Saint-Étienne-du-Rouvray
On-site
EUR 40,000 - 60,000
10 days ago

26-199 High-fidelity numerical modelling of flash boiling in cryogenic jets

CNES

Saint-Étienne-du-Rouvray
On-site
EUR 40,000 - 60,000
10 days ago

Hybrid Physics-AI Prognostics for LPRE Systems

CNES

Saint-Étienne-du-Rouvray
On-site
EUR 26,000 - 32,000
10 days ago

26-074 Hybrid physics-AI approach for modeling and prognosis of LPRE

CNES

Saint-Étienne-du-Rouvray
On-site
EUR 26,000 - 32,000
10 days ago

26-036 New mechanism of cloud glaciation by updrafts: A satellite study

CNES

Villeneuve-d'Ascq
On-site
EUR 40,000 - 60,000
10 days ago

Lead Multi-Wavelength Study of Transient Black Holes

CNES

Paris
On-site
EUR 20,000 - 30,000
10 days ago

26-271 Study of transient black hole systems with SVOM and Einstein Probe

CNES

Paris
On-site
EUR 20,000 - 30,000
10 days ago

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Autonomous Space Crop AI: Offline ML for LSS Optimization
CNES
Toulouse
On-site
EUR 40,000 - 60,000
Full time
2 days ago
Be an early applicant

Job summary

A leading space research organization is offering a research thesis position focused on Artificial Intelligence for optimizing plant cultivation systems for space missions. This role involves developing algorithms for estimating plant conditions and creating autonomous strategies for cultivation, emphasizing efficiency and minimal resource use. Candidates should have a Master's degree in relevant fields and experience with machine learning and computer vision applied to precision agriculture. This position offers a unique opportunity to contribute to cutting-edge space exploration research.

Benefits

Participation in groundbreaking research projects
Collaboration with leading experts in space technology
Access to state-of-the-art resources

Qualifications

  • Experience with machine learning and computer vision algorithms.
  • Familiarity with autonomous systems and AI in agricultural applications.
  • Knowledge of planning and reinforcement learning techniques.

Responsibilities

  • Develop AI tools for optimizing plant cultivation in space.
  • Implement machine learning algorithms for estimating plant states.
  • Create automated strategies for resource-efficient cultivation.

Skills

Machine Learning
Computer Vision
Planning Algorithms
Reinforcement Learning
Automation

Education

Master's degree in Artificial Intelligence, Robotics, or related fields

Tools

Hydroponic systems
Farmbot
Job description
A leading space research organization is offering a research thesis position focused on Artificial Intelligence for optimizing plant cultivation systems for space missions. This role involves developing algorithms for estimating plant conditions and creating autonomous strategies for cultivation, emphasizing efficiency and minimal resource use. Candidates should have a Master's degree in relevant fields and experience with machine learning and computer vision applied to precision agriculture. This position offers a unique opportunity to contribute to cutting-edge space exploration research.

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.