A better understanding of Earth climate and evolution relies on a better understanding or other planets. In 2023 European Space Agency (ESA) launched the JUpiter ICy moons Explorer (JUICE) mission to the Jovian system, and the development of the ESA EnVision mission to Venus is under development. Both missions carry on board a radar sounder instrument for subsurface sensing of planetary bodies. In the context of these two projects we are looking for candidates willing to design methodologies for sub-surface radar image processing and analysis. The outcome of this activity will contribute in improving the understanding of planetary subsurface structures, and their correlation to history and climate, as well as of Earth.
The candidate will be requested to design and develop novel methodologies based on artificial intelligence, deep learning and machine learning for information extraction, segmentation, classification, target detection, noise reduction and change detection in radar and radar sounder images.
Besides the requirements established by the rules of the ICT school, preferential characteristics for candidates for this scholarship are:
• master degree in Electrical Engineering, Communication Engineering, Computer Science, Mathematics or equivalents;
• knowledge in pattern recognition, deep learning, image/signal processing, statistic/remote sensing/radar.