Scientific activities / projects

Development and refinement of existing scientific methods for the retrieval of trace gases from UVN satellite data

Starting date


Duration of contract

3 years


up to the German TVöD 14

Type of employment

Full-time (part-time possible)

In the framework of different European atmospheric satellite missions DLR’s Remote Sensing Technology Institute develops algorithms for the accurate derivation of ozone and other trace gases (e.g. NO2, SO2, HCHO, CHOCHO, H2O, BrO, OClO) as well as physical aerosol and cloud properties from satellite data obtained from UVN atmospheric spectrometers. These algorithms are used operationally in near-real-time processing systems of DLR, AC-SAF, ESA and EUMETSAT.

The Remote Sensing Technology Institute has many years of experience in deriving atmospheric products from satellite measurements ranging from GOME/ERS-2, SCIAMACHY/ENVISAT, GOME-2/METOP to TROPOMI/S5P and continuing in the future with the Copernicus Sentinel missions Sentinel-4 and Sentinel-5 (see e.g. and

The work is performed in close cooperation with national and international partners. We offer an excellent working environment and the opportunity to collaborate with the leading scientists in the field of satellite-based remote sensing of the atmosphere.

The holder of the position will be responsible for the following tasks:

  • development of novel and refinement of existing scientific algorithms for the retrieval of trace gases from UVN instruments, here especially for the EU Copernicus Sentinel-5 Precursor, Sentinel-5 and Sentinel-4 atmospheric sensors
  • comparison of existing algorithms with the requirements of the project, in particular with respect to their suitability for the operational retrieval of the trace gases
  • development of new algorithms for the retrieval of trace gases  
  • integration of the algorithms in pre-operational software and operational processors  
  • comparison of the retrieval results with results from comparable satellite sensors and with ground-based remote sensing data
  • verification, validation and documentation of the results
  • publication of results in peer-reviewed journals
  • presentation of results in project meetings and at international conferences

Your qualifications:

  • completed scientific university studies (university diploma/master's degree) in physics or a related field
  • PhD in physics or a related field
  • several years of experience in the field of atmospheric remote sensing, esp. using data from the sensor types GOME-2, OMI and TROPOMI
  • very good knowledge in the retrieval of trace gas concentrations using UV/VIS/NIR spectrometers, esp. using the DOAS technique and radiative transfer modeling, as demonstrated by scientific publications
  • solid knowledge in methods of numerical mathematics
  • very good programming experience with C/C++, Fortran or Python under Linux/Unix
  • good command of English
  • team spirit

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 (f/m/x). 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. Thomas Trautmann
Remote Sensing Technology Institute

Phone: +49 8153 28-1404

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Vacancy 74084

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Remote Sensing Technology Institute

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