Post-Doc in Community Ecology / Data Science (80-100%)
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Birmensdorf, Switzerland
vor 3 Tg.
source : Euraxess

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is a part of the ETH domain.

Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.

The project is a collaboration between WSL and the Swiss Federal Institute of Aquatic Science and Technology (Eawag) and the Swiss Data Science Center (SDSC).

In the framework of this project within the research unit Biodiversity and Conservation’’ and research group Spatial Evolutionary Ecology of WSL, we are looking to hire for a two-year position , with a start between November 2020 and January 2021 , aPost-Doc in Community Ecology / Data Science (80-100%)You will be a key player in the application of computer vision techniques to biodiversity monitoring and ecological research by collaborating closely with data science and computer vision experts to address ecological questions using monitoring data of South American hummingbirds (Graham -WSL) and Swiss macroinvertebrates (Matthews-Eawag).

You will facilitate data aggregation and cleaning for analyses, help develop new data science tools to extract data from remote cameras, and use the output of these tools to answer ecological questions.

You will be at the center of an interdisciplinary collaboration between ecological work done in the groups of Graham and Matthews and the Swiss Data Science Center.

You will publish your findings in peer-reviewed journals and present results in international conferences.You have a PhD in biology or environmental sciences with a strong background in community ecology, data management and statistical analyses.

You have a strong interest in data science, some knowledge of statistical methods, and experience working with data. Ideally, you have a familiarity with deep learning neural networks and scientific application development in python.

You are organized and committed to bringing advances to a wide audience. You have a demonstrated ability in networking and working with teams of scientists.

You have a passion for interdisciplinary research aimed at increasing our knowledge and understanding of biodiversity, and are excited about joining a team spread over several institutions.

Furthermore, you have a good command of English as well as the capability for scientific paper writing. You are ambitious and highly motivated, used to a high standard of independent, structured and careful work.

Please submit your complete application online to Michèle Bucher, Human Resources WSL, by uploading the requested documents through our webpage.

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