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Advertising division: IBG-2 - Plant Sciences
Reference number: 2019-373


The Plant Sciences subinstitute (IBG-2) of the Institute of Bio- and Geosciences (IBG) investigates the dynamics of plant processes and the interaction of plants with the environment. Plant science at Forschungszentrum Jülich plays a leading role at national and international level in the field of plant phenotyping, i.e. in the quantitative and non-invasive recording of structural and functional properties of plants important for agricultural and horticultural plant breeding. In this context, we are developing new sensors and measurement concepts and integrate them into semi- and fully automated systems. One focus of the subinstitute is the use of optical sensors to promote the automated measurement of plant traits under field conditions. Ground-based measurements are complemented by UAV, aircraft and satellite-based remote sensing approaches. Particular focus is on the development of fluorescence retrieval techniques in preparation of the upcoming Fluorescence Explorer (FLEX) satellite mission of the European Space Agency (ESA).

We are looking to recruit a

Scientist in the field of optical remote sensing of vegetation

Your Job:

  • Retrieval of solar-induced fluorescence from high performance imaging data
  • Development of new algorithms for the preprocessing, atmospheric correction and georectification of airborne hyperspectral data
  • Registration of hyperspectral reflectance data with DEMs and DSMs derived from Lidar data
  • Adaptation and optimization of fluorescence retrieval schemes from high performance airborne imaging data
  • Radiative transfer inversion of leaf and canopy models to derive structural and functional vegetation traits from the combination of airborne imaging spectroscopy data and solar-induced fluorescence
  • Interpretation of the results, correlation of remote sensing data with ground based plant traits
  • Special focus will be in contributing to existing projects that are funded by the European Space Agency (ESA) in preparation of the future FLEX satellite mission
  • Presentation of the results at scientific conferences
  • Contribution to project proposals in this research field
  • Contribution to supervision of Bachelor, Master and PhD students

Your Profile:

  • A university degree in Remote Sensing, Geophysics, Plant Biology or a natural scientific discipline with relevant and proven experience in the field of activity
  • Sound background and proven expertise in processing and analyzing hyperspectral data
  • Profound knowledge on the field of atmospheric and geometric correction methods applied to hyperspectral groundbased, airborne and satellite data
  • Wide experience in interpretation and retrieval of vegetation traits from hyperspectral imagery
  • Special interest in retrieving and interpreting solar-induced fluorescence from hyperspectral data
  • Experience with programming languages and software that are used for hyperspectral image processing, e.g. ENVI/IDL, Python, R, Matlab etc.

Our Offer:

  • Possibility to develop own scientific profile in the emerging topic of "remote sensing of solar-induced fluorescence"
  • Integration in a world-leading research group in this field with a stimulating scientific environment
  • Attendance of national and international conferences and workshops
  • Possibility for further scientific and technical training through international experts
  • Position initially limited to two years, with the possibility of a longer-term perspective
  • The position can also be filled as a part-time position; flexible working time models between 50-100% are possible
  • Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen
  • Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD)

Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.

We also welcome applications from disabled persons.