Post-Doc in Atmospheric Science

Are you our new colleague?

Are you an ambitious, highly motivated, and result driven (postdoctoral) scientist with experience in interpreting atmospheric (satellite) observations in the context of biomass burning? Then you are the person we are looking for.

You will contribute to a research project investigating emissions from biomass burning using satellite observations and atmospheric transport modeling. Fires are a major source of carbon monoxide (CO), greenhouse gases and aerosols, yet current fire emission inventories may substantially under- or overestimate their emissions in particular regions. By combining observations from TROPOMI onboard the Sentinel-5P satellite with atmospheric transport modeling and inverse modeling techniques, the project aims to improve our understanding of fire emissions and their uncertainties.

You will investigate long-term trends, as well as specific major wildfire events and recurring biomass burning in different regions around the world.

You will become part of the Earth Science Group (ESG)  ESG consists of approximately 40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modeling, data science, and the development of future Earth observation missions. You will join a research team specializing in the detection and quantification of atmospheric emissions using satellite observations, atmospheric transport modeling, and machine learning.

The team has pioneered the use of satellite observations for identifying methane super-emitters and quantifying emissions from natural, industrial and urban sources worldwide.

Within this project, you will combine TROPOMI, MOPITT and upcoming Sentinel-5 observations of atmospheric CO with atmospheric transport modeling and Bayesian inversion techniques. Building on existing modeling frameworks, you will help develop and apply an integrated system that optimizes fire emissions by minimizing discrepancies between observed and simulated atmospheric CO concentrations.

• Applying an atmospheric inverse modeling framework (TM5-4DVar) to improve estimates of fire and other emissions using TROPOMI and MOPITT CO observations.
• Performing regional atmospheric transport simulations with the WRF-Chem to simulate CO over regions of interest at higher spatial resolutions.
• Investigating long-term trends, as well as major wildfire events and recurring biomass burning activity.
• Identifying the environmental and human drivers of biomass burning.
• Evaluating existing fire emission inventories against satellite observations and inverse model derived emission estimates.
• Combining CO observations with complementary satellite datasets, including fire radiative power, burned area and, where relevant, TROPOMI nitrogen dioxide (NO2), to investigate fire activity and combustion characteristics.
• Maintain communication with relevant stakeholders and the wider CO modeling community, like the TM5 user group and GCP-IGAC Global CO Budget Project.
• Publishing results in leading international scientific journals and presenting your work at scientific conferences and project meetings.

We are looking for an ambitious, highly motivated and result driven scientist with a PhD in atmospheric sciences, physics, environmental sciences or a related discipline. The ideal candidate has experience in atmospheric transport modeling (e.g. GEOS-Chem, TM5 or related), satellite remote sensing and inverse modeling, preferably in the context of biomass burning. Strong programming and data analysis skills are essential, as well as experience with the analysis of satellite observations of atmospheric…