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Course paper / final thesis

Analysis of airborne infrared measurements to estimate localized methane and carbon dioxide emissions

Starting date

immediately

Duration of contract

6 months

Remuneration

German TVöD 5

Type of employment

Part-time

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

The Atmospheric Processors Department of DLR's Remote Sensing Technology Institute is working on the analysis of UV, visible, and IR spectroscopic observations, mostly done by satellite sensors. In the context of the CoMet campaign 2018 the airborne HySpex instrument has been used for the measurement of strong methane emissions in Upper Silesia, and another HySpex campaign is planned this summer focusing on carbon dioxide emissions of power plants.

The objective of this master thesis is to model the near infrared spectra expected to be observed. Furthermore, CO2 and CH4 concentrations shall be estimated from simulated and observed spectra. Radiative transfer models and retrieval codes developed in our department can be used and optionally adjusted to the requirements of this work.

Your qualifications:

  • Bachelor in physics, meteorology, engineering or related fields
  • knowledge of atmospheric remote sensing incl. basics of molecular spectroscopy
  • understanding of mathematical optimization techniques
  • programming experience in Unix/Linux, ideally Python and Fortran

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 unparalled 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 (m/f/non-binary). 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 38362

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Remote Sensing Technology Institute

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