STAGE 2027 - Caractérisation des arbres par télédétection (H/F)
Core
Develop AI models and define methodologies for characterizing trees using high-resolution satellite imagery to address agro-environmental challenges.
Role type
Student intern, computer vision and remote sensing
Builds
Multimodal AI models for tree characterization (crown delineation, species diversity analysis)
Domain
Aerospace / Remote Sensing / Environmental Monitoring
Deliverable
production ML models
Required skills
Python, Deep Learning, PyTorch, Satellite Imagery Analysis, Geospatial Data Processing, Cloud Deployment, Docker
Preferred skills
LiDAR data processing, GCP
Technologies
PyTorch, Python, Docker, GCP, Satellite Imagery, LiDAR
Responsibilities
Review state-of-the-art methods for vegetation characterization, Create and validate multimodal training datasets (optical, LiDAR), Develop and evaluate multimodal AI models, Validate model performance and present results
