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Scientific activities / projects

Research and Application in the field of Geospatial Data Bases

Starting date


Duration of contract

3 years


up to the German TVöD 14

Type of employment


The "EO Data Science" department develops modern signal processing and AI processes for current and future earth observation missions. It is involved in a large number of third-party projects and a large international network.

The expected tasks will consist of our own scientific research on the topic of artificial intelligence for earth observation as well as the initiation, implementation and management of scientific and innovative projects.

The tasks described below require specific knowledge and outstanding expertise. In order to meet the requirements of the position, extensive professional or research experience in the fields of geospatial databases, geo-informatics, data sciences, machine learning, artificial intelligence or related fields is required.

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
  • setting impulses for working with geo-data and automatization of proven techniques in order to apply them in the department
  • presentation of research results to a broad specialist public, e.g. through publication in high-ranking specialist journals and lectures at international conferences
  • overview of new national or international calls for projects
  • project applications in the national and international area
  • 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.

Your qualifications:

  • 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
  • knowledge in the field of scientific project application and project implementation
  • very good knowledge of the German and English language in spoken and written form
  • ability to interact with scientists at different levels
  • ability to work both independently and highly motivated in a team
  • strong communication and interpersonal skills
  • doctoral degree desired, but not required in case of special professional qualification

Your benefits:

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 unparalleled 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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Technical contact

Prof. Dr. Ing. Xiaoxiang Zhu
Remote Sensing Technology Institute

Phone: +49 8153 28-3531

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Vacancy 48449

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

To location

DLR Remote Sensing Technology Institute

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