Lead ML Researcher - Satellite Rainfall Estimation

Italian Ministry of Education, University and Research; Italia; On-site; EUR 42,000 - 54,000; Full time

Job summary

ISAC-CNR invites applications for a research position focused on developing and validating advanced machine learning algorithms for global quantitative precipitation estimation using microwave radiometry from current and upcoming LEO satellite missions. The work will leverage data from ESA and EUMETSAT satellite programmes and involve cross-disciplinary collaboration.

The position emphasizes research excellence and may involve collaboration within international programs, with an application

Responsibilities

• Development, implementation, and validation of advanced machine learning–based algorithms for global quantitative precipitation estimation using microwave radiometric observations onboard current and next-generation Low Earth Orbit (LEO) satellite radiometers.

Job description

ISAC-CNR invites applications for a research position focused on developing and validating advanced machine learning algorithms for global quantitative precipitation estimation using microwave radiometry from current and upcoming LEO satellite missions. The work will leverage data from ESA and EUMETSAT satellite programmes and involve cross-disciplinary collaboration.

The position emphasizes research excellence and may involve collaboration within international programs, with an application