Doctoral position in social indicator development with text-based and spatial data — ETH Zürich
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 2 days ago
Role overview
Doctoral position in social indicator development with text-based and spatial data 100%, Zurich, fixed-term print Drucken The Chair of Planning of Landscape and Urban Systems (PLUS) at the Institute for Spatial and Landscape Development , ETH Zurich, is seeking a highly motivated doctoral researcher (100%) to join the project “DEPOPLAND: Drivers and trajectories of social-ecological change in depopulating rural landscapes”, funded by the Swiss National Science Foundation.here Project background Rural depopulation is emerging as one of the defining global transformations of the 21st century, with profound consequences for both ecosystems and human well-being.
The DEPOPLAND project aims to provide the first systematic, global-scale analysis of ecological and social dynamics in depopulating rural landscapes, identifying trajectories of change and their underlying drivers.
To do so, the project pioneers an integrated and data-driven approach to analysing social-ecological systems, combining diverse data sources and advanced computational methods to uncover long-term dynamics of ecosystems and human well-being.
- Doctoral position in social indicator development with text-based and spatial data 100%, Zurich, fixed-term print Drucken The Chair of Planning of Landscape and Urban Systems (PLUS) at the Institute for Spatial and Landscape Development , ETH Zurich, is seeking a highly motivated doctoral researcher (100%) to join the project “DEPOPLAND: Drivers and trajectories of social-ecological change in depopulating rural landscapes”, funded by the Swiss National Science Foundation.here Project background Rural depopulation is emerging as one of the defining global transformations of the 21st century, with profound consequences for both ecosystems and human well-being.
- The DEPOPLAND project aims to provide the first systematic, global-scale analysis of ecological and social dynamics in depopulating rural landscapes, identifying trajectories of change and their underlying drivers.
Additional details
- Experience with spatial data analysis and programming (e.g.
Notes and original content
- Python or R)