Atmospheric Scientist

SRON - Netherlands Institute for Space Research

Leiden, Netherlands

Are you our new colleague?

Are you an ambitious, highly motivated, and result driven (postdoctoral) scientist with experience applying Machine Learning techniques and interpreting atmospheric observations? Then you are the person we are looking for.

Your project

The focus of this project is on our contribution to the CAMS Methane Hot Spot service. At the core of this service are the detection and emission quantification of methane plumes in the TROPOMI data using ML approaches. We aim to further improve those detections and expand our methodology to the soon to be launched Sentinel-5 instrument. In addition, you will be responsible for the regular reporting in the project, including statistics on the detected emissions, support to the CAMS Methane Explorer App, etc. Your work will fit in and complement our ongoing research on methane (super-emitters) as part of UNEP’s IMEO-MARS, ESA’s MEDUSA project, and a Global Methane Hub funded landfill project.

You will present your work to various stakeholders as well as at scientific conferences, and publish your work in scientific peer-reviewed journals.

Position requirements

e are looking for an ambitious, highly motivated, and result driven scientist with a PhD in atmospheric sciences or a similar degree, with experience in the application of machine learning to analyze atmospheric data and the interpretation of atmospheric (e.g. satellite, aircraft, …) observations. Strong programming and data analytics skills are also expected. Experience with research on atmospheric methane, atmospheric modeling, or flux inversions is considered an asset. A highly developed proficiency in written and oral English is essential and the candidate should be capable of working both independently and in a team.

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