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Postdoc in biome biogeography 70-100% (f/m/d)

Birmensdorf
WSL
Inserat online seit: 22 April
Beschreibung

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is 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 Research Group Dynamic Macroecology led by Dr. Niklaus E. Zimmermann studies questions related to spatial ecology, macroecology and -evolution and global biome dynamics. For this group, we are looking for the duration of 18 months (possibility of extension) for a PostDoc in Biome Biogeography 70-100% (f/m/d) as part of an SNSF (ERC) Advanced Grant project (Predicting hotspots of climate change impacts on ecosystems from an eco-evolutionary biome framework). This project aims at mapping global biomes, projecting global change impacts on biomes, and testing a novel eco-evolutionary biome theory. In this project, several PhD and postdoctoral students work on generating baseline data and on testing different aspects of the theory. Your responsibility will be to contribute the overall testing of several important aspects of the biome biogeography theory. You will contribute to generate and analyze outputs from machine learning models, process-based simulations and macroevolutionary approaches. Based on these you will conduct statistical hypothesis testing and take responsibility for testing specific key aspects of the theory and you support others with targeted contributions, spatial products, and analytical protocols in their work on theory testing. You therefore will contribute to synthesizing the biome biogeography theory across different sub-projects. You hold a PhD degree in ecology or a related field, and you have expert knowledge in macroecology, functional ecology, the processing and analysis of high-volume data sets, spatial ecology/modelling, and in coding with R/Python/GIT. Further assets are expertise in remote sensing, and experience in cluster computing, machine...

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