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Researcher at DLR. Because I am who I am.

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Scientific activities / projects

Development and refinement of methods for the retrieval of trace gases from satellite data in the context of the missions GOME-2, Sentinel-5 Precursor, Sentinel-4 and Sentinel-5

Starting date

ab sofort

Duration of contract

4 Jahre

Remuneration

bis Entgeltgruppe 14 TVöD

Type of employment

Full-time

In the framework of the GOME-2, Sentinel-5 Precursor (S5P), Sentinel-4 (S4) and Sentinel-5 (S5) missions, the department “Atmospheric Processors” of DLR’s Remote Sensing Technology Institute develops algorithms for the accurate derivation of ozone and other trace gases (e.g. NO2, SO2, HCHO, H2O, BrO) as well as cloud properties from satellite data obtained with GOME-type atmospheric spectrometers. These algorithms are used operationally in near-real-time and offline DLR processing systems. At the end of 2017, the TROPOMI instrument was launched on board the EU/ESA Copernicus satellite S5P, followed in 2018 by the third GOME-2 sensor on EUMETSAT's MetOp-C platform.
 
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 S4 and S5 (see e.g. https://atmos.eoc.dlr.de/tropomi/ and https://atmos.eoc.dlr.de/gome2/).
 
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.
 
Your tasks:
  • development of novel and refinement of existing scientific algorithms for the retrieval of trace gas columns of ozone and other atmospheric trace gases for the atmospheric sensors GOME-2, Sentinel-5P, Sentinel-4, and Sentinel-5
  • integration of the algorithms in pre-operational software and operational processors 
  • 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 GOME-type sensors (GOME, SCIAMACHY, OMI, GOME-2, 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
  • 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 53855

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Remote Sensing Technology Institute

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