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
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
Our benefits
- Working for Switzerland We are committed to the successful Swiss model and work for the public good.
- Embracing diversity Thanks to equal opportunities, we draw on our expertise and contribute different perspectives.
- Staying healthy at work We support and advise our employees in the area of physical and mental health.
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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Postdoctoral Researcher in Data Science and Predictive Modelling for Potato Production Systems Arbeitgeber: Admin
swisstopo ist ein hervorragender Arbeitgeber, der seinen Mitarbeitenden nicht nur die Möglichkeit bietet, an bedeutenden geologischen Projekten in der Schweiz mitzuwirken, sondern auch eine gesunde Work-Life-Balance fördert. Mit einem starken Fokus auf Vielfalt und Chancengleichheit sowie umfassenden Unterstützungsangeboten im Bereich Gesundheit, schafft swisstopo ein inspirierendes Arbeitsumfeld, das die persönliche und berufliche Entwicklung seiner Mitarbeitenden aktiv unterstützt.
