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Postdoctoral Researcher in Data Science and Predictive Modelling for Potato Production Systems
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Postdoctoral Researcher in Data Science and Predictive Modelling for Potato Production Systems
Agroscope
Nyon | 80%
Starting date: 01.11.2026 or to be discussed
Type of employment: temporary 31.10.2029
Reference no.: JRQ$540-20388
Place of work: Route de Duillier 60, 1260 Nyon
This is how you can contribute
- Develop machine learning and statistical models to predict virus infection risk in Swiss seed potato production and predictive models of potato dormancy and sprouting under different storage conditions
- Integrate agronomic, climatic, physiological and certification datasets spanning more than 30 years
- Compare, validate and optimize predictive models using independent datasets and real-world observations
- Develop decision-support tools and contribute to their implementation within Agrometeo+ and other digital platforms
- Publish scientific papers, present results at international conferences and contribute to research proposals
- Collaborate with multidisciplinary teams and supervise MSc and PhD students where appropriate
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This makes you unique
- PhD in Data Science, Statistics, Computer Science, Artificial Intelligence, Bioinformatics, Agronomy or a related field
- Strong expertise in machine learning, predictive modelling and statistical analysis
- Excellent programming skills in Python and/or R and experience with large datasets and reproducible workflows
- Knowledge of explainable AI, climate or geospatial data is an advantage
- Excellent communication and scientific writing skills
- Very good knowledge of two official Swiss languages and spoken and written English
In a nutshell
This position contributes to two nationally funded research projects. The first develops predictive models for virus risk in seed potato certification using historical certification records, weather variables and varietal susceptibility. The second develops operational models predicting potato dormancy and sprouting during storage using more than 35 years of varietal, climatic and storage data. Together, these projects combine artificial intelligence, machine learning and digital agriculture to deliver decision-support tools for the Swiss potato sector.
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The projects are funded by the Swiss Federal Office for Agriculture (FOAG) and conducted in close collaboration with Agroscope, Swisspatat and other partners.
Good food, healthy environment
Agroscope is the Swiss federal centre of excellence for research in the agriculture and food sector. Its researchers work at a number of sites in Switzerland. Headquartered in Bern-Liebefeld (as of 2026: Posieux), Agroscope is attached to the Swiss Federal Department of Economic Affairs, Education and Research EAER.
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