Research scientist (f_m_x) - GNSS Reflectometry
Core
Developing and applying AI and machine learning methods for GNSS reflectometry to retrieve soil moisture and analyze land-surface variables.
Role type
Research scientist (AI/ML for remote sensing)
Builds
GNSS reflectometry data products for meteorological and hydrological models
Domain
Geosciences / Remote Sensing / Earth System Science
Deliverable
production ML models | research
Required skills
Machine learning methods, GNSS data processing, Geophysical application of GNSS reflectometry, Remote sensing data analysis
Preferred skills
Spaceborne GNSS-R missions experience, Scientific software development (Python/MATLAB), Deep-learning frameworks, High-performance computing
Technologies
Python, MATLAB, UNIX/Linux, GPS, Galileo, GLONASS, BeiDou, CYGNSS, HydroGNSS
Responsibilities
Develop GNSS reflectometry methods for land-surface applications; Validate data products against other remote sensing and in-situ measurements; Apply ML methods to improve meteorological and hydrological models; Collaborate with international partner institutions and publish research
Seniority
Senior, hands-on IC
