Doctoral student in satellite observations: deriving climate data by physically-based machine learning

Helps us to derive novel climate data by combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you!

About us 

Our team is part of the . The division's overall aim is to develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. The division is found within the Department of Space, Earth and Environment.

About the research project 

The satellite carrying the ground-breaking MicroWave Imager (MWI) and Ice Cloud Imager (ICI) will be launched this summer. Our team plays a leading role in preparing for ICI, and we will derive much-needed climate data on ice clouds from it. This project is about extending the data e...