Phd Student in Evolutionary Genetics of Forest
vor 3 Wochen
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 Unit Biodiversity and Conservation Biology investigates the diversity of life in its various forms, from genetic diversity to the diversity of species and ecosystems as well as their interactions. It’s Evolutionary Genetics Group is interested in understanding the roles of demography and natural selection in shaping the life-histories and the genetic composition of forest tree populations across the landscape. The group uses field experiments, statistical models, and individual-based computer simulations to answer fundamental evolutionary questions and to aid adaptive forest management decisions. In the framework of the ERC Consolidator Grant “MyGardenOfTrees”, the Evolutionary Genetics Group offers a
**3-year** position starting
**1 December 2023** or soon after
PhD student in evolutionary genetics of forest trees (f/m/d)
The aim of MyGardenOfTrees is to evaluate the growth and regeneration capacity of silver fir (Abies alba Mill.) and European beech (Fagus sylvatica L.) through an unprecedented number of experimental gardens across Europe. Observations obtained from these gardens will be combined with genomic data and used to develop a prediction tool for foresters to help them build forests better adapted to climate change. The field component of the project is based on participatory science and involves foresters across Europe, and is coordinated by a dedicated senior researcher.
The project is hiring a total of three PhD students working on complementary topics. The current PhD position will focus on addressing the role of gene-environment interactions in seedling performance using a combination of genomics, common garden experiments and environmental data. The ultimate goal is to describe the reaction norms (phenotypic expression) of different populations and lineages across a large range of environments and incorporate this information into a genomic prediction model. The position principally involves data analysis and modeling; lab or field components are minor.
- Zürcherstrasse 111, CH-8903 Birmensdorf
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