Alt 2026 - Apprenti(e) En Identification Automatique Dans Le Domaine Du Roem (h/f)
Airbus Defence and Space SAS
Elancourt, France
Deep learning with pytorch and tensorflow
Automatic radar emitter identification
Python and java software development
This apprenticeship focuses on reinforcing the team's capabilities in automatic radar emitter identification within the ROEM domain at Airbus Defence & Space
Job Summary
This apprenticeship focuses on reinforcing the team's capabilities in automatic radar emitter identification within the ROEM domain at Airbus Defence & Space.
Candidates will utilize PyTorch and TensorFlow to develop, optimize, and deploy deep learning models into production-ready microservices architectures.
The role requires fluency in both English and French, along with the ability to conduct state-of-the-art research and integrate components into demonstrator solutions.
Matching Summary
This apprenticeship focuses on reinforcing the team's capabilities in automatic radar emitter identification within the ROEM domain at Airbus Defence & Space.
Skills & Requirements
Must-have
Deep Learning with PyTorch and TensorFlow
Automatic Radar Emitter Identification
Python and Java software development
Docker and Kubernetes microservices integration
State-of-the-art research methodology
Nice-to-have
Flexibility across multiple technologies
Experience with multi-source data processing
Collaboration with Data Science teams
Key Requirements
Master or Engineering degree (BAC+5)
French citizenship required for security clearance
Availability for September/October 2026 start date
Work Rights
Must have French citizenship per IGI 1300 regulations