YOUR MISSION

The department "EO Data Science" of the Remote Sensing Technology Institute develops modern signal processing and AI procedures for present and future Earth observation missions. It is involved in a number of third-party funded projects and in a large international network. One of our main research directions is synthetic aperture radar (SAR) and its interferometry, because SAR, as an active and coherence sensor, has the unique advantage of weather independent, globally consistent, and geodetically accurate positioning measurement over optical sensors. These play important roles for tackling large-scale grand societal challenges such as urbanization and climate change.

Therefore, the envisioned doctoral research position aims at developing advanced multi-baseline SAR interferometric algorithms for current and next generation SAR missions, contributing to solving grand societal problems. Research questions lie on how to more accurately and efficiently retrieve global geophysical parameters, such as biomass and 3D height, from current and future multi-baseline InSAR measurements. Challenges arise on how to mathematically modeling a complex process that generalizes, how to invert the model efficiently, how to tackle the big data volume, etc. Here, both physical model-based and data-driven approaches shall be taken into account, because the successful development of various SAR missions have irreversibly taken the field into the Big Data era. The research will also contribute to the development of future German SAR missions like High Resolution Wide Swath.

YOUR QUALIFICATIONS

• Completed scientific university studies (university diploma/master's degree) in computer science, mathematics, electrical engineering, or a comparable course of study.
• Experience in SAR remote sensing / SAR interferometry.
• Good programming skills in a development language (IDL, Matlab, Python) or C/C++.
• Experience in machine learning.
• Good command of written and spoken English.
• Enthusiasm in Earth observation, and want to contribute for the benefit of our society.
• You work independently, but also highly motivated in a team and have excellent communication and cooperation skills.

Contact: Interested candidate please send your motivation letter, CV, and supporting materials to ai(at)dlr.de