One PhD position open for Chinese applicants interested in a joint research project with the Jülich Supercomputing Centre and the University of Bonn. Research of advanced deep learning methods with HPC systems in applications from remote sensing.
Recent advances in satellite technology have led to a regular, frequent, and high-resolution monitoring of Earth at the global scale, providing an unprecedented amount of Earth observation (EO) data. This Special Issue aims at gathering a collection of papers in areas interested in learning from data with applications to remote sensing image analysis.
The PhD position is funded by the EU project Center of Excellence "Research on AI- and Simulation-Based Engineering at Exascale” (CoE RAISE). This project will be the excellent enabler for the advancement of European multi-physics and/or multi-scale applications on industrial and academic level and a driver for novel intertwined AI and HPC technologies.
This workshop has established itself as an important event for scientists involved in the combined fields of pattern recognition and remote sensing. These two research fields have always overlapped, but an ever-increasing amount of observations at varying scale, temporal, and spatial resolution provided by a multitude of different sensors require novel advanced algorithms and techniques for automated analysis.