Minimize Remote Sensing / GIS Expert

Date added: 26 November 2018

Organisation: GAF AG

Location: Munich, Germany


GAF seeks to strengthen its development team in the field of (semi-)automatic analysis of remote sensing data and the creation and implementation of modular process chains, by recruting a motivated Remote Sensing / GIS Expert.

Your tasks:

  • Implementation of modular process chains for thematic image analysis and for supporting automatic evaluation procedures by close communication with our development teams by provision of assistance for further process enhancements
  • Support of methodological and conceptual development of workflows for automatisation of image processing process chains (e.g. time-series analysis, bulk image classification)
  • Implementation of specific evaluation modules/workflows for thematic image analysis with a focus on optical data
    and/or SAR, mainly in Python (or R)
  • Organising the EO product generation under consideration of budget, schedule and resources
  • Implementation of Quality assurance of output products
  • Support of project reporting and documentation of workflows and tools.

Your profile:

  • Educational background: Minimum MSc. in geography, urban planning, ecology, forestry or similar, preferably with a focus on remote sensing and one of the following disciplines: forestry, urban applications, land use
  • Profound / deeper understanding of modular process chains for thematic image analysis
  • Minimum 2 years of relevant working experience.

Required skills:

  • Advanced knowledge of the mathematical/physical basics of remote sensing and the thematic analysis of satellite data
  • Advanced practical experience in remote sensing/GIS, EO data processing / urban / land use / land cover classification
  • Ability to work in an independent and responsible way
  • Innovative thinking
  • Excellent reporting and communication skills.
Autonomous and self-responsible working as well as team working skills.

Learn more about the opportunity and how to apply.

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