Doctoral Fellowship
Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; 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!
Our Remote Sensing Technology Institute in Oberpfaffenhofen offers a
DLR-DAAD Doctoral Fellowship
Nr. 687: Fast Radiative Transfer Models for Infrared Spectral Simulations
What to expect:
The department Atmospheric Processors (ATP) in the Remote Sensing Technology Institute (IMF) at the German Aerospace Center (DLR) conducts research in the retrieval of trace gas concentrations, as well as the characterization of Clouds and aerosol properties from space-borne remote sensing data. Retrieving atmospheric state variables such as molecular columns requires in-depth knowledge of radiative transfer, inversion and scattering. The department has expertise in all of those fields and developed a variety of atmospheric radiative transfer and retrieval codes over the past few decades. Many were successfully applied to observations from space-borne platforms such as SCIAMACHY, TROPOMI, and OCO-2.
In recent years, particular emphasis has been placed on remote sensing of greenhouse gases carbon dioxide (CO2) and methane (CH4) as monitoring of anthropogenic emissions is an integral part of the United Nations Framework Convention on Climate (2015). Dedicated satellite missions such as CO2M (EU, ESA, Eumetsat) and CO2Image (DLR) demand not only high accuracy and precision in measuring CO2 and CH4, but also require fast computational performance.
Achieving these goals requires developing fast and efficient radiative transfer models with advanced methods for retrieving trace gases. This asks for an improved description of the physical processes, efficient inversion methods as well as the exploitation of new approaches such as machine learning (ML).
The objective of the doctoral research position is to design fast radiative transfer models to simulate reflectance spectra in the infrared domain. This involves assessing the uncertainty associated with aerosols and clouds, as well as modeling advanced effects such as different surface models and polarization. The successful candidate will utilize and extend existing software tools to develop novel algorithms and implementation methods, focusing on
Please apply here: DLR-DAAD Research Fellowship Programme - DAAD - Deutscher Akademischer Austauschdienst
Further information and current vacancies:
What we expect from you:
Required Qualification: Master in Physics or in a similar field (atmospheric sciences, meteorology, astronomy, etc.).
Advantageous Skills:
The candidate should have applicational knowledge in:
What 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.
Further information:
Starting date: 01.02.2025
Type of employment: Full-time
Contact:
Dr. Dmitry Efremenko
E-Mail: Dmitry.Efremenko@dlr.de
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