Stage - Ingénieur(e) de Recherche en Physique de la Mesure - Spatial - Toulouse
Core
Improving atmospheric correction algorithms for satellite imagery to support climate change monitoring and Earth observation.
Role type
Research intern (atmospheric physics and remote sensing)
Builds
Satellite data processing pipelines and atmospheric correction models
Domain
Aerospace / Remote sensing / Climate science
Deliverable
production ML models
Required skills
Python (numpy, xarray, pandas, matplotlib), radiative transfer modeling, atmospheric correction algorithms, hyperspectral data analysis, Linux
Preferred skills
Master's in remote sensing or measurement physics, experience with SOS-ABS or PROSAIL models
Technologies
Linux, Python, SOS-ABS, PROSAIL, CORATHYP, EnMAP, Sentinel-2
Responsibilities
Conduct literature review on atmospheric correction, develop improved algorithms for Dark Dense Vegetation, build vegetation spectral databases, run simulations and analyze results, document findings
Seniority
Intern (final year engineering student)
