Research and Application in the field of Geospatial Data Bases

DLR, German Aerospace Center, Oberpfaffenhofen, Germany
Posted: December 15, 2020

This position is intended to cover the field of spatial data processing and in particular to build and research spatial databases and their architectures. The holder of the position will be responsible for the following tasks:

  • Own research on the topic AI for earth observation in the field of geodata processing
  • independent research and expansion of scientific knowledge at the highest international level in the field of geo-data processing using novel AI procedures such as data fusion or deep learning
  • development of a geo-database for AI4EO and further development of possibilities for its applications for research
  • independent use of large infrastructures and with large data archives (“Big Data”)
  • development and documentation of novel methods for the solution of complex problems

The candidate should actively advise and support doctoral students and other scientists of the department in their daily research. Above all, the work area of geo-data processing and archiving are to be homogenized and simplified. The systematic data processing and storage should increase the efficiency of the department and facilitate joint work.

Requirements Include:

  • doctoral degree desired, but not required in case of special professional qualification
  • completed university degree (university diploma/master’s degree) in computer science, geoinformatics, data science or comparable field of study
  • several years of professional experience in data science, machine learning (ML), artificial intelligence (AI) or related fields
  • over 5 years of experience with geodata and GIS concepts such as GIS data warehousing, GIS data architecture and GIS server administration
  • experience in geo-referencing, digitization and geo-processing, creation, editing and management of large relational and geo-databases, as well as publishing services or working with Web Map Services
  • experience with Linux environments
  • experience with cloud servers
  • very good knowledge of the German and English language in spoken and written form

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