Researcher (post-doc) in data science and global land monitoring

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Organisation: GFZ Potsdam

About the organisation

The Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences is the national centre for geosphere research. As a member of the Helmholtz Association of German Research Centres, GFZ is part of the largest scientific organization in Germany. With approximately 1,500 employees their key mission is to secure a profound understanding of the systems and processes of solid Earth, to develop strategies and options for action in addressing global change and its impacts on a regional level, to understand natural hazards and to minimize associated risks, to ensure the sustainable provision of energy and raw materials for a high-tech society and to evaluate the influence of human activity on system Earth.

About the position

Are you an innovative researcher willing to contribute to the next generation of global monitoring and Earth observation applications? Do you have experience processing and analyzing large Earth observation data sets and integrate them with reference data? Are you keen to adopt artificial intelligence approaches and develop tools and products to novel Earth Observations data? And are you an enthusiastic teammate willing to join us for exciting collaborative research and expand your scientific career? Then the team would like to get you on board! Your research will focus on developing methods and tools to utilize the scientific potential of the next level of global Earth Observation data (i.e., large area hyperspectral, LIDAR, or RADAR time-series data; also ground/reference data) and providing innovative tools and products as a global asset to users.

Your responsibilities:

As a researcher, you will work on the interface of different working groups in the section (e.g., geomatics/big data analytics, global monitoring). Your research will contribute to innovative ideas in the Remote Sensing and Geoinformatics Section of the German Research Center for Geosciences (GFZ). The section strives to establish remote sensing as a core method for Earth Sciences and geo- and nature-based solutions. You will be able to draw from the broad expertise and projects within the section, enhance collaboration and contribute to an innovative environment for a diverse group of people and ideas. Do you want to know more about their work? Check out their page with news, recent publications, and projects.

Your qualifications:

To apply, you should have a proven scientific track record and research vision that she/he can pursue as part of this researcher position. As a successful candidate, you:

  • Have a Master`s degree (or equivalent) and a Ph.D. degree (or almost completed) with a proven international scientific track record in the field of remote sensing, large-area processing, and analysis (incl. cloud computing, ground/satellite data integration) or a closely related scientific field;
  • Have a vision of how data science and artificial intelligence will contribute to your research; 
  • Have a vision of how novel Earth Observation approaches can contribute to improving global land monitoring and sustainability;
  • Have experience in large area Earth Observations, Cloud computing, time series methods, AI and data science methods, and uncertainty analysis;
  • Have an open mind for collaborative research and connecting different fields;
  • Have an international scientific profile and can interact with professionals and societal partners in the development of research and outreach.

More information

Start date: As soon as possible
Fixed-term: 4,5 years
Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work.
Place of work: Potsdam

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