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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement PhD postion - Machine learning based assimilation of satellite data to improve air quality predictions

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European Geosciences Union

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PhD postion - Machine learning based assimilation of satellite data to improve air quality predictions

Position
PhD postion - Machine learning based assimilation of satellite data to improve air quality predictions

Employer
Forschungszentrum Jülich GmbH logo

Forschungszentrum Jülich GmbH


Location
Juelich, Germany

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Earth and Space Science Informatics (ESSI)
Nonlinear Processes in Geosciences (NP)

Type
Full time

Level
Entry level

Salary
Open

Preferred education
Master

Application deadline
Open until the position is filled

Posted
16 December 2025

Job description

The PhD-project focuses on satellite data assimilation for air quality forecasts and analyses. It aims at leveraging limitations in the use of satellite observations by making a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model will be developed using the example of the novel Earth Explorer EarthCARE and will be integrated as observation operator to the sophisticated data assimilation system of the EURopean Air pollution Dispersion – Inverse Model (EURAD-IM). The PhD-candidate will be mainly located at ICE-3, Forschungszentrum Jülich, Germany, with intermediate stays at the Institute for Geophysics and Meteorology at the University of Cologne.


How to apply

Please find all details about the project on Machine learning based assimilation of satellite data to improve air quality predictions here: https://www.fz-juelich.de/de/karriere/stellenangebote/2025D-178