Advanced SAR Imaging Researcher Wanted for UAV-Based Projects
Vor 2 Tagen
At ETH Zurich, we pride ourselves on our cutting-edge research and exceptional education.
The SAR Remote Sensing Technology Group at the Chair of Earth Observation and Remote Sensing is seeking a highly motivated PhD student to join our team in a research project on UAV-based synthetic aperture radar (SAR) remote sensing.
You will be part of an innovative international research team investigating advanced SAR imaging algorithms and geo-/biophysical parameter retrieval approaches relevant for future satellite SAR remote sensing concepts. The applications of this technology include 3-D vegetation structure/biomass retrieval and measurement of ground motion using monostatic and bistatic SAR.
Your responsibilities will include:
- Developing and implementing advanced SAR imaging/signal processing algorithms and geo-/biophysical parameter retrieval methods for different SAR sensor constellations and data acquisition modes.
- Demonstrating and validating these new methods with SAR remote sensing experiments using state-of-the-art compact frequency-modulated continuous-wave radar instrumentation and GNSS-aided inertial navigation integrated on a multicopter UAV.
This research project provides an excellent opportunity to start a research career in the growing domain of SAR remote sensing with access to extensive expertise in SAR imaging from agile platforms, aircraft, and satellites.
About YouWe are looking for a candidate with:
- A Master's degree in electrical/telecommunications engineering, geomatics engineering, aerospace engineering, geodesy, geophysics, physics, computer science, or a related field.
- Strong analytical and implementation skills with a good foundation in mathematics, physics, data analysis, and programming skills in languages like Python, Matlab, C/C++, or equivalent.
- Ability to develop and implement SAR signal-processing algorithms in a chosen programming language.
- Independent and solution-oriented work style, characterized by curiosity and a drive for innovation.
- Excellent communication and collaboration skills, as well as strong English skills.
- Hands-on attitude towards technology and radar experiments in the field.
Additional qualifications that would be advantageous include previous experience in synthetic aperture radar signal processing or another field of array signal processing, hands-on experience with radar instrumentation, and basic knowledge of German.
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