[pam-users] Postdoc position UGOT-CIMS

pam-users aerodyne-pam-users at lists.aerodyne.com
Tue Jul 20 12:22:17 EDT 2021


Dear all,

We have a postdoc position open for application (deadline 15th of August).
https://tinyurl.com/UGOT-CIMS

Topic: Research in atmospheric chemistry using high resolution mass spectrometry with chemical ionization. (more info below and in the website: https://tinyurl.com/UGOT-CIMS)

Please forward to any potential applicants!

Best regards,
Mattias
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Professor  Mattias Hallquist
Atmospheric Science, Department of Chemistry and Molecular Biology
University of Gothenburg
412 96 Gothenburg
Sweden

Description: Research in atmospheric chemistry using high resolution mass spectrometry with chemical ionization. The aim of this project is to quantify, understand and provide tools to describe atmospheric oxidation of organic compounds. This oxidation is important to understand formation of secondary organic aerosol (SOA) but also the generally production of oxygenated compounds that can effect air quality both in outdoor and indoor environments. Aerosol particles are crucial components in any evaluation process regarding air quality and climate change. SOA represents a significant fraction of the tropospheric aerosol. Still, the current level of understanding of SOA processes is remarkably low compared to other processes in aerosol science, i.e. modelled SOA based on experimental findings and existing theory does not capture the variability of observed SOA loadings and often predicts far less SOA than observed. It has been indicated that biogenic SOA can be largely affected by anthropogenic pollutants, i.e. NO2, SO2 or organic compounds e.g. aromatics and aldehydes. The effect of anthropogenic pollutants may explain part of the discrepancy between models and field observations. Specifically, this project applies high resolution mass spectroscopy techniques for detailed analysis of gas and particle phase to elucidate chemical mechanisms of importance for atmospheric SOA. A specific aim is how to link SOA mechanisms to model developments for descriptions in air quality and climate models.
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