Summary
Agroscope is offering a PhD position focused on utilizing machine learning to enhance the sustainable management of grassland systems. Candidates will engage in research aimed at advancing scientific understanding and practical solutions in the field.
PhD Position in Machine Learning for Sustainable Grassland Management, Switzerland
Designation
PhD Position: Machine Learning for Sustainable Grassland Management
| Details | Information |
|---|---|
| Research Area | Machine Learning and Sustainable Agriculture |
| Location | Reckenholzstrasse 191, 8046 Zürich (remote work flexibility available) |
| Eligibility/Qualification | – Master’s degree (or equivalent) in Environmental Engineering, Computer Science, Geography, or related field – Strong programming skills (preferably in Python) – Experience in machine learning – Interest in applied research in agriculture or ecophysiology – Knowledge of at least two official Swiss languages and English |
| Last Date to Apply | To be confirmed based on the starting date, ideally before 31.05.2030. |
Description
The PhD candidate will develop novel approaches to improve the understanding and sustainable management of grassland systems at a landscape scale. Responsibilities include:
- Analyzing remote sensing data using machine learning methods
- Integrating remote sensing and environmental data to assess the impacts of climate and land-use change on grassland systems in Switzerland
- Preparing scientific publications and presenting results at conferences
How to Apply
Interested candidates should submit their applications in English. For more details or to convey interest, candidates may contact:
- Helge Aasen, Team Lead Earth Observation of Agroecosystems at +41 58 46 51185.
Additional Information
Agroscope is committed to contributing to sustainable agricultural practices and enhancing public good through research.
This is a unique opportunity for aspiring researchers to contribute significantly to sustainability efforts in Switzerland, leveraging advanced technology such as machine learning.
