Applications are invited for a postdoctoral position in the Air Quality and Particle Technology group  (Prof. Dr. J. Wang). The successful candidate will be hosted by the Institute of Environmental Engineering, ETH Zürich.

Position available immediately.

The air quality models play significant roles in forecasting air pollution events, assessing emissions and air quality in specific regions, and quantifying the contributions of various sources to air pollutants. Numerical models with high special resolution are in demand especially for studies such as epidemiological research, source apportionment, urban planning, etc.  This project will contribute to the MASSEV (Monitoring, Mapping and Modelling Air Quality for Sustainable Environments in Cities and Communities) consortium in the frame work of Global Research Council - Sustainable Development Goals Program. Our consortium aims at developing air quality sensor platforms, models with high spatiotemporal resolution, and effective toolboxes for data dissemination to address the challenging air quality issues in growing and populous cities. The research will also include studies on the impact of wildfires on urban air quality. 

The project will develop air quality models for the cities in the case studies of MASSEV. Data from local sensor networks, measurement stations, remote sensing will all be considered. The output will be integrated into the apps developed in MASSEV. The involved tasks includes:

• modeling air pollution transport for the cities in the case studies of MASSEV
• developing models to map urban air quality to single meter scale, integrating sensor data, governmental monitoring output, and satellite retrievals
• incorporating air quality data to citizen apps
• estimating citizen exposure to air pollutants and analyzing impacts on human health and economics

The candidate is expected to further develop the research in the group and supervise students.

We are looking for suitable candidates with a doctoral degree in environmental science, environmental engineering, data science or related fields with excellent academic records. Interested candidates should have strong research backgrounds and solid independent research ability. Experiences with numerical model programing, air quality simulation, big data analyses are desired. Excellent verbal and written communication skills in English are required.

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

We look forward to receiving your online application including:

• a curriculum vitae
• a list of publications
• a complete academic transcript including undergraduate and graduate courses
• copies of diploma/certificates
• contact information of 2-3 potential referees
• a short description of research interests

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Please contact Prof. Wang (jing.wang@ifu.baug.ethz.ch) for further information (no applications) and visit our website.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.