Discover here more job vacancies on academics – the leading job market for science and research. In order to receive information about suitable job vacancies regularly by email, you can register with us free of charge at any time.
PhD position physics, meteorology, mathematics or similar
Published(412 days ago)
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)Oberpfaffenhofen
Start your mission with DLR
The German Aerospace Center (DLR) is the national aeronautics and space research centre and the space agency of the Federal Republic of Germany.
Here, 8000 employees work together on a unique variety of topics in the fields of aeronautics, space, energy, transport, security and digitalisation.
Their missions range from basic research to the development of innovative applications and products for tomorrow. Cutting-edge research requires excellent
minds - particularly more females - at all levels, who fully achieve their potential in an inspiring environment. Launch your mission with us.
The Remote Sensing Technology Institute in Oberpfaffenhofen near Munich offers a
physics, meteorology, mathematics or similar
The institute’s Atmospheric Processors section conducts research on atmospheric remote sensing with infrared and ultraviolet spectrometers. Research on the mathematical and physical basics of atmospheric remote sensing is focused on radiative transfer modelling, mathematics of inversion, and electromagnetic scattering.
Nitrogen dioxide (NO2) plays a key role in both stratospheric and tropospheric chemistry. This PhD-project will address the development and refinement of novel scientific algorithms for the retrieval of total and tropospheric NO2 from the European Sentinel-5 Precursor (S5P) satellite instrument. S5P was launched in October 2017 and belongs to a new generation of satellite instruments providing trace gases measurements with better spatial and temporal resolution that allow a detailed view of the NO2 pollution patterns on a global scale. The newly developed NO2 retrieval algorithm will include improvements in the DOAS (Differential Optical Absorption Spectroscopy) method and in the radiative transfer modelling. The NO2 observations from S5P will be compared with ground-based MAX-DOAS measurements at various sites in Europe and China. Local information on the vertical NO2 profile and aerosol properties at these sites will be used to improve the satellite retrieval algorithms over polluted regions.
This PhD-project will also address the estimation of ground level NO2 concentrations using a satellite-based regression method. Tropospheric NO2 columns from S5P will be used together with ambient monitoring station measurements and meteorological data to determine ground level NO2 over Germany and surrounding countries. The regression analysis will be carried out using a Neural Network.
We offer an excellent work environment and provide the opportunity to collaborate with leading scientists in the field of satellite-based atmospheric remote sensing. You are encouraged to present your results at international conferences and publish in scientific journals.
Master in physics, meteorology, mathematics, or in a similar field
the candidate should have some background in atmospheric remote sensing and/or radiative transfer modelling
programming skills in a Linux environment
fluent in spoken and written English
open communication and team spirit are expected
DLR is an employer that values your commitment and promotes your professional and personal growth through a range of qualification and training opportunities. Our unique working environment offers our employees a great deal of freedom and an incomparable infrastructure, in which you will be able to fulfil your mission.
Our human resources policy puts great value on a healthy work-life balance as well as equal opportunities for men and women. Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates
If you have any questions concerning specific aspects of the job, please contact Mr. Prof. Dr. Thomas Trautmann by calling +49 8153 28-1404. Please find further information on this vacancy with the reference number 20439, and details regarding the application procedure, at