Project Overview
As part of an SNSF (ERC) Advanced Grant project (Predicting hotspots of climate change impacts on ecosystems from an eco-evolutionary biome framework), the project aims to map global biomes, project global change impacts on biomes, and test a novel eco‑evolutionary biome theory. Several PhD and postdoctoral students work on generating baseline data and testing different aspects of the theory. This role will contribute to the overall testing of several important aspects of the biome biogeography theory.
Responsibilities
Conduct statistical hypothesis testing and take responsibility for testing specific key aspects of the theory.
Generate and analyze outputs from machine learning models, process‑based simulations, and macroevolutionary approaches.
Support team members with targeted contributions, spatial products, and analytical protocols in their work on theory testing.
Synthesize the biome biogeography theory across different sub‑projects.
Qualifications
PhD degree in ecology or a related field.
Expertise in macroecology, functional ecology, spatial ecology/modelling, and coding with R, Python, and GIT.
Experience in processing and analysing high‑volume data sets.
Expertise in remote sensing, cluster computing, machine learning, and artificial intelligence.
Ability to develop new ideas independently.
Very good written and oral English skills.
Commitment to Diversity and Inclusion
WSL is committed to diversity and inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment.
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