The Laboratory for Air Pollution / Environmental Technology is offering a
Our laboratory contributes to the reduction of air pollutants and greenhouse gases through research, which combines a wide range of analytical measurement techniques with physical and statistical modelling. The Carbosense project is part of our growing activities in the area of low-cost sensors and data science in combination with atmospheric observations. Carbosense is a worldwide unique Swiss CO2 sensor network with several hundred low-cost sensors and a range of high-end reference instruments. We offer a highly stimulating research environment with excellent infrastructure and an interdisciplinary surrounding.
Operate the Carbosense sensor network, in collaboration with our technicians and project partners.
Develop and apply strategies and algorithms for QA/QC and field calibration of deployed sensors.
Develop statistical models and visualization tools for geospatial CO2 distribution at the regional and city-scale.
Initiate projects and research collaborations for further exploitation of our unique CO2 dataset.
Publish results in high impact journals and present your work at international conferences.
PhD degree in environmental sciences, computational sciences, geosciences or a related discipline.
Strong programming skills, e.g., Python, R, Linux shell scripting.
Experience with large datasets, databases, statistical modelling and machine learning.
Experience in environmental analytics or sensor technology.
Ability to communicate scientific results in peer-reviewed journals and conferences.
Fluency in English is required; basic knowledge of German and French are desirable.
The duration of this position is two years. The position is available from 1 December 2019 and will remain open until filled. Working place will be Empa in Dübendorf.