Publisher
source

Agroscope

Postdoctoral Researcher in Data Science and Predictive Modelling for Potato Production Systems Agroscope in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a temporary postdoctoral position contributing to two nationally funded research projects funded by the Swiss Federal Office for Agriculture (FOAG). The post runs until 2029-10-31; no stipend amount is stated.

Deadline

Oct 31, 2029

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Country

Switzerland

University

Agroscope

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Keywords

Computer Science
Data Science
Environmental Science
Agriculture
Information Technology
Biology
Predictive Modeling
Artificial Intelligence
Statistics
Bioinformatic
Geospatial Information
ML

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About this position

Postdoctoral Researcher in Data Science and Predictive Modelling for Potato Production Systems at Agroscope in Nyon, Switzerland (80%).

This postdoctoral opening focuses on data science, machine learning, statistics, and predictive modelling for agriculture. The successful candidate will develop models to predict virus infection risk in Swiss seed potato production and to model potato dormancy and sprouting under different storage conditions.

The work combines agronomic, climatic, physiological, and certification datasets spanning more than 30 years, with the goal of building decision-support tools for the Swiss potato sector. The role also includes validating models with independent datasets and real-world observations, publishing scientific papers, presenting at international conferences, contributing to research proposals, and collaborating with multidisciplinary teams.

The position is part of two nationally funded projects supported by the Swiss Federal Office for Agriculture (FOAG) and carried out with Agroscope, Swisspatat, and other partners. It is a temporary appointment running until 31 October 2029.

Eligibility highlights: PhD in Data Science, Statistics, Computer Science, Artificial Intelligence, Bioinformatics, Agronomy, or a related field; strong Python and/or R skills; experience with large datasets and reproducible workflows; knowledge of explainable AI, climate data, or geospatial data is an advantage; excellent scientific communication; and very good knowledge of two official Swiss languages plus spoken and written English.

How to apply: Submit your application through the official Agroscope job portal. The vacancy page includes an application button and contact details for Brice Dupuis, Team Leader, for position-related questions.

Funding details

This is a temporary postdoctoral position contributing to two nationally funded research projects funded by the Swiss Federal Office for Agriculture (FOAG). The post runs until 2029-10-31; no stipend amount is stated.

What's required

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.

How to apply

Apply via the job portal using the 'Apply now' link on the Agroscope vacancy page. For questions about the position, contact Brice Dupuis, Team Leader.

More information can be found here

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