- Paris
- 3+ years
Lead and develop SAR analytics and machine learning solutions for defense applications.
Responsibilities
- Lead initiatives using SAR polarimetry and coherence for automated change detection.
- Design and prototype state-of-the-art machine learning models for SAR image segmentation.
- Develop algorithms for target detection and object classification on SAR data.
- Fuse SAR with optical, RF and other data sources to support GNSS-denied operations.
- Port algorithms from Python prototypes to real-time pipelines with software and embedded/FPGA teams.
Requirements
- Master’s or PhD in electrical engineering, telecommunications engineering, signal processing, applied mathematics or a related field
- Nice to have: GEOINT
- Nice to have: ELINT
- Nice to have: SIGINT