December 2017
Message 56

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[Met-jobs] 2-year postdoc or scientist position on modelling and data analysis of greenhouse gases and their isotopes

From "Steinbacher, Martin" <>
To "" <>
Date Tue, 19 Dec 2017 15:26:57 +0000

Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.

The Laboratory for Air Pollution/Environmental Technology at Empa investigates effects of human activity on the atmosphere-climate system as a contribution to a healthy and safe environment by combining state-of-the art measurement techniques and modeling tools.

The Laboratory for Air Pollution / Environmental Technology has an opening for a


2-year postdoc or scientist position on modelling and data analysis of greenhouse gases and their isotopes


Reliable scientific data on the chemical composition of the atmosphere is crucial for understanding climate change and for a sound assessment of the environmental players and impacts. Therefore, we implemented observations of carbon dioxide, methane, carbon monoxide and ozone in data spare regions such as Chile (since 2013), Viet Nam (since 2014) and Kyrgyzstan (since 2016) to improve the spatial global coverage of sound data. These time series in highly diverse environments provide crucial and unique information which is expected to be exploited by innovative data analysis and atmospheric transport models.

Similarly, highly unique, continuous δ13C-CO2 and δ18O-CO2 isotope ratio data is available since 2008 from our high-Alpine measurement station Jungfraujoch in Switzerland. The isotopic composition of CO2 contains valuable information about the various CO2 source and sink processes in Central Europe. The evaluation of these data is part of the European Union’s project RINGO which strives for cutting-edge science and its transition into operationally run monitoring networks.

The successful candidate will fully profit from this wealth of data. He or she will employ and develop statistical tools, machine learning algorithms, and atmospheric transport models for the exploitation of the uniqe, high-quality time series. We expect creative and independent analysis of the measurements, putting them in context with local, regional and global sources and sinks.

Required qualifications:

You have a Ph.D. in atmospheric/environmental sciences, physics or chemistry with a strong expertise in the analysis of large datasets and possibly atmospheric transport models. Candidates with an outstanding publication record and proven competencies in this field will be considered. Excellent programming skills and fluency in English are required; basic comprehension and oral _expression_ skills in German are desirable. We offer a highly stimulating research environment with excellent infrastructure and broad interdisciplinary surrounding.

For further information contact

Dr. Martin Steinbacher, phone +41 58 765 40 48, email:

and visit our webpage at .

Applications must be submitted online at , and shall comprise a CV, a letter of motivation and addresses of two referees. The appointment can start immediately. Applications received before 20 January 2018 will receive full consideration.


Martin Steinbacher


Swiss Federal Laboratories for Materials Science and Technology

Ueberlandstrasse 129

CH-8600 Duebendorf


Tel +41 58 765 4048

Fax +41 58 765 1122


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