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Master in Meteorology, Atmospheric Physics or similar (f/m/d)
Job Description
Req ID:  1025
Place of work:  Oberpfaffenhofen
Starting date:  ab sofort
Career level:  Experienced professionals
Type of employment:  Full-time, Part time
Duration of contract:  3 Jahre

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The Institute for Remote Sensing Methodology conducts research and development in the field of remote sensing technologies. We develop algorithms and methods to configure software processors that that extract relevant geo-information from remote sensing data. Automated processors are the prerequisite for optimising the use of modern sensor systems for science and applications. The processors are integrated into payload ground segments of DFD and industry for national and international and international earth observation missions.

 

What to expect
As part of the SCIAMACHY, Sentinel-5 Precursor (S5P) and EnMap missions, the future Copernicus CO2M mission and DLR's own greenhouse gas monitoring studies in the frame of the planned CO2Image mission, the Institute of Remote Sensing Remote Sensing Technology at DLR is developing scientific algorithms for the precise derivation of trace gases (CO, CH4, CO2, H2O) from satellite-borne atmospheric spectrometers operating in the so-called solar short-wave infrared spectral range (SWIR) to detect greenhouse gases and their precursors. These algorithms are used in DLR's offline processor systems, and DLR's offline processor systems, and they are also suitable for operational use in near-real-time data processing during missions.

 

Your tasks

  • Research on existing methods for these tasks in the scientific literature
  • Comparison of existing methods with the requirements of the project
  • Development of methods and analysis procedures for the evaluation of algorithms
  • Further development of algorithms for greenhouse gases that are specifically adapted to the requirements for spatial resolution with the required minimum spectral resolution, and documentation of the theoretical basis for the designed algorithms
  • Integration of the algorithms into pre-operational software and operational processors
  • Further development of existing methods and development og the test environment for verification and validation of the algorithms as well as development, preparation and realisation of the test runs
  • Documentation of the results and presentation in project meetings and at international conferences

 

Your profile

  • Completed scientific university degree (Master's/Diploma Uni) in physics (e.g. meteorology, atmospheric physics) or other degree programmes relevant to the job
  • Doctorate (PhD) in the field of trace gas retrieval with satellite spectrometers or a closely related field
  • Experience (peer-reviewed publications) in the field of algorithm development for the extraction of atmospheric level-2 trace gas products in the shortwave solar infrared (SWIR) as well as experience in the validation of SWIR Level-2 trace gas products applied to measurements with passive spectrometers on satellites
  • Very good programming experience with Python, C++ under Linux/Unix as well as knowledge in methods of numerical mathematics
  • Fortran knowledge and knowledge in the field of machine learning
  • Participation in the technical supervision of student work
  • Good knowledge of English

 

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 1025) please contact:

 

Diego Guillermo Loyola Rodriguez 
Tel.: +49 8153 28 1367 
Apply now