Postdoc

The position is funded for 9 months. Part time employment is possible.

The project aims to investigate how in human-dominated landscapes we can enrich biodiversity. In a first step, we integrate the science of ecological assessment, urban blue-green infrastructure planning and spatial modelling to quantify structural and functional connectivity in Swiss lowland/urban landscapes. A key challenge will be the exploitation of machine learning to extract relevant spatial characteristics from remote sensing data. This highly interdisciplinary project is a collaboration between Eawag and WSL.

Your profile: You have experience with programming (Python, Julia, R) and strong GIS and spatial data management experience. German is a very strong asset as much of the data have local descriptors.

Eawag offers a unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment.

Please send us your online application including the following documents:

• Cover letter: a short (one page or less) statement of your motivation
• CV and publication list
• University degree(s)

The deadline for applications is 30 June 2020. The selection decision will be made towards the end of July.

For further information, please contact Dr. Peter Bach.

We look forward to receiving your application. Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.