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The department “EO Data Science” at the Remote Sensing Technology Institute (IMF-DAS), located at the DLR in Oberpfaffenhofen near Munich is developing novel signal processing and AI algorithms to improve information retrieval from remote sensing data, in particular those from current and the next generation of Earth observation missions and deliver crucial geo-information to address social grant challenges, such as urbanization and climate change. In the framework of the project „So2Sat: Big Data for 4D Global Urban Mapping – 1016 Bytes from Social Media to EO Satellites“ methods to allow a four dimensional mapping of the urban areas and population dynamics should be developed by fusion of social media and earth observation data.
The holder of the position will be responsible for the development of innovative algorithms for analyzing social media data in combination with earth observation data:
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development.
Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives.
Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary).
Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
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Prof. Dr. Ing. Xiaoxiang Zhu
Remote Sensing Technology Institute
Phone: +49 8153 28-3531