The University of Zurich is one of the leading research universities in Europe and offers the widest range of study courses in Switzerland. The University of Zurich and Eawag provide generous research support, including earmarked funds for personnel and running expenses, and competitive start-up packages. Zurich’s scientific environment includes a rich spectrum of research activities in remote sensing, aquatic research and life sciences and provides extensive opportunities for collaborations with research groups at the Faculty of Science of the University of Zurich, Eawag, as well as teams at the nearby ETH Zurich. The University of Zurich, Eawag and the city of Zurich also offer a stimulating cultural environment and are family-friendly.
The SARLab of the Remote Sensing Laboratories at the University of Zurich is inviting applications from motivated candidates with solid technical and analytical skills for Two (2) Ph.D. positions in the field of processing, enhancing and analyzing airborne SAR and optical images .
Description:
We are an interdisciplinary research group involved in a wide range of SAR applications such as signal processing/focusing, geographic information interpretation, cartography, geodesy, navigation and computer science.
One candidate will be expected to develop algorithms for the detection and tracking of moving objects in airborne synthetic aperture radar (SAR) data, known as SAR-GMTI. With this technique, information about moving objects is retrieved while simultaneously focusing the SAR image. Main research topics include SAR focusing, image processing, feature extraction and tracking methods. Within the current SAR-GMTI framework, the successful candidate will ex-tend the existing methods and potentially implement her/his own independent approaches in the longer term.
A second candidate will work on the fusion of airborne SAR and optical imagery, with potential applications including landcover segmentation, object detection and surveillance, especially in & around urban areas. SAR-optical data fusion methods aim at enhancing the available information compared with the input images alone. The successful candidate will familiarize her/himself with the work performed so far, improve existing approaches and/or implement new methods based on the literature. In the longer term, (s)he will be encouraged to propose new (or hybrid) methods, and ideally propose or demonstrate potential new applications for the methods developed.
Requirements:
- Master’s degree in Geography with a major in remote sensing (or related field), as well as a solid background in electrical engineering/computer science/mathematics/physics
OR
- Master’s degree in electrical engineering/computer science/mathematics/physics (or related field) with a solid background in remote sensing.
- Experience with SAR remote sensing is a strong advantage
- Very good knowledge of written and spoken English
- Good skills in programming languages (e.g., Matlab, C, C++)
How to Apply
Deadline: Summer 2015
Please send your application (including one-page summary, copies of academic certificates, CV and letter(s) of recommendation) to
• Dr. Daniel Henke, daniel.henke@geo.uzh.ch
for the SAR-GMTI positon
• Dr. Adrian Schubert, adrian.schubert@geo.uzh.ch
for the SAR-optical data fusion position
For general questions and information: Dr. Erich Meier, erich.meier@geo.uzh.ch
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