Representation of Remote Sensing in research and teaching at the University of Potsdam, with a focus on Earth and environmental sciences, in addition to heading the section "Remote Sensing and Geoinformatics" at the GFZ.
The successful candidate will significantly advance interdisciplinary remote sensing research in Earth System Science, and enhance GFZ´s leading role in hyperspectral satellite missions.
They will lead and develop an established, interdisciplinary and internationally con-nected team with more than 40 employees, within the framework of the GFZ's overarching objectives.
Research of the GFZ Remote Sensing and Geoinformatics Section focuses particularly on the following fields:
- Application-oriented development of remote sensing research based on multi-temporal observation of bio- and geophysical parameters as well as surface deformation using optical and radar remote sensing systems for a broad spectrum of research questions within geo- and environmental sciences.
- Scientific leadership of the German hyperspectral satellite mission EnMAP as well as involvement in the definition of future hyperspectral satellite missions.
- Development of methods for information extraction from large and complex data sets which are acquired by remote sensing and in-situ sensors as well as derived from simulation models and geo-archives (data mining/machine learning, visual data exploration as well as database and Big Data oriented technologies).
Research and teaching will be carried out in close cooperation with the Institute of Geosciences and the Institute of Environmental Sciences and Geography of the University of Potsdam. The professorship will be established at one of these institutes, taking into considera-tion the profile and expertise of the successful candidate.
The professor will have teaching responsibilities of 2 hours per week per semester (2 SWS) in the M.Sc. degree program Re-mote Sensing, GeoInformation and Visualization as well as in the B.SC. and M.Sc. degree programs Geoecology and Geosciences. Courses will be taught in German and in English. Close networking with the numerous partner institutions in the Berlin-Brandenburg region within the framework of Geo.X as well as with other national and international teaching and research institutions is expected.