GNSS Reflectometry (GNSS-R) is an innovative remote sensing method exploiting signals of Global Navigation Satellite Systems (GNSS) after reflection from the Earth's surface. The GNSS-R technique is used to derive geophysical surface parameters (e.g., soil moisture, snow cover, wind speed over oceans). The low-mass GNSS-R receivers onboard constellation of small satellites and recently CubeSats, can receive multiple reflected GNSS signals simultaneously and thus achieve high observation coverage. With the continuously and rapidly increasing GNSS-R datasets, Deep Learning is becoming an efficient method in the GNSS-R domain for remote sensing and Earth system modeling. The sought candidate will be an important member of an interdisciplinary team of data and remote sensing scientists working on the development and implementation of innovative deep learning techniques for the processing of satellite-based GNSS-R data.
Diversity and equal opportunities are integral components of our human resources policy. The GFZ actively promotes diversity and explicitly welcomes applications from all qualified individuals, regardless of ethnic and social origin, nationality, gender, sexual orientation and identity, religion/belief, age and physical characteristics. Anyone who has been recognized as severely disabled, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. If you have any questions, please contact our representative for the severely disabled at firstname.lastname@example.org, who will be happy to assist you in the further application process. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer at email@example.com.
Your personal data will be processed for the purpose of conducting the selection procedure on the basis of Art. 6 para. 1 b, Art. 88 GDPR in conjunction with Art. 26 of the Data Protection Act for the State of Brandenburg. After completion of the procedure, application documents will be deleted in compliance with data protection regulations.
Für Fragen zur Gleichstellung steht Ihnen die Gleichstellungsbeauftragte des GFZ, Frau Dr. Weckmann unter Tel. +49 331 288-2824 bzw. per E-Mail zur Verfügung.
Fragen zur Mitarbeit schwerhinderter Personen beantwortet gerne die Schwerbindertenvertreterin des GFZ, Frau Thiel unter Tel. +49 331 288-1648 bzw. per E-Mail.