Research Associate in Remote Sensing

German Remote Sensing Data Center (DFD), Land Surface Department (LAX), Spectroscopy and Land Degradation Team, Oberpfaffenhofen, Germany
Posted: April 9, 2019

Methodological, algorithm and processing chain development for analysis of multi- and hyperspectral image data

Your mission will be to configure and develop software tools for end-to-end algorithms including prototyping of data products based on Algorithmic Theoretical Baseline Documents (ATBDs) and similar descriptions, developing suitable software architectural designs, specifying interfaces, defining software and hardware resources, describing and executing test, verification and validation assemblies and developing software suitable for high performance platforms.

Qualifications Include:

  • University degree in Computer Science, Geomatics or equivalent
  • Excellent programming skills and experiences in one or more of the following languages (e.g. C/C++, Python, IDL, R, etc.)
  • Experience in generic software engineering (object-oriented programing, design patterns, unit testing, parallel programming, big data, etc.)
  • Good knowledge in remote sensing, specifically processing of optical (hyperspectral and multispectral) image data, knowledge of vegetation and soil spectroscopy is a plus
  • Very good knowledge of English

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