The Laboratory for Air Pollution / Environmental Technology has an opening for a
The Atmospheric Modelling and Remote Sensing group is looking for a highly motivated PhD candidate to work in the field of air pollution modeling in a project funded by the Swiss Federal Office for the Environment (FOEN). The goal is to develop a coupled modeling system for seamless simulations from the regional scale down to the street level, and to apply the model to study the impact of future changes in road transport on air quality in Switzerland. Large changes in traffic-related air pollutant emissions are expected in the next 10-15 years due to stringent vehicle emission standards, technological and political effects of the "VW diesel scandal", and the increasing share of electrical and hybrid engines. Air quality limit exceedances will be more and more limited to cities and busy streets, places that can not sufficiently be resolved with traditional chemistry transport models. We aim to overcome this limitation by developing a multiscale modelling sytem, integrating a highly resolved city-model and a regional chemistry transport model.
The PhD student will set up and couple the two models, conduct a comprehensive evaluation at both country and city scale, develop emission scenarios (in collaboration with experts at FOEN), and simulate future air pollution levels for a range of scenarios with a special focus on urban air Pollution.
The position is immediately available for a candidate with an excellent master’s degree in physics, environmental sciences or a related discipline. Furthermore, a strong interest in numerical modeling and programming are required. We expect excellent English language skills; knowledge of German is advantageous.
We offer a highly stimulating research environment, a broad interdisciplinary surrounding, and excellent computing infrastructure. The working place will be at Empa in Dübendorf. The student will be co-supervised by Prof. Ulrike Lohmann, ETH Zurich, and will obtain his or her PhD degree from ETH.
Appointment may start as soon as possible, preferably in October or November 2017.
All applications received before 27 August 2017 will receive full consideration.