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A leading academic institution in Germany seeks a committed individual for a W1 Professorship in Machine Learning in Agricultural and Food Economics. The position involves teaching in undergraduate and graduate programmes, as well as engaging in interdisciplinary research on the transformation of agricultural systems. Candidates should have a strong early-career research profile and experience in quantitative methods for empirical research, ideally with an emphasis on machine learning.
Organisation/Company University of Göttingen Department Faculty of Agricultural Sciences Research Field Agricultural sciences » Other Economics » Agricultural economics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 14 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes
The Faculty of Agricultural Sciences at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) at the Department of Agricultural Economics and Rural Development effective at the earliest possible date:
W1 Professorship in Machine Learning in Agricultural and Food Economics (f/m/d)
The professorship will initially be awarded with civil servant status for a period of three years. After a positive evaluation, the employment contract will be extended for another three years.
We are looking for a committed and team-oriented person with an excellent and internationally visible early-career research profile in data-driven agricultural and food economics. A focus on the application and further development of data science methods, particularly in the area of machine learning, is desired and expected during the appointment at the University of Göttingen. In addition, active participation in interdisciplinary research on the transformation of agricultural and food systems is anticipated. Scientific collaborations within existing university institutions, such as the Campus Institute Data Science (CIDAS), are explicitly encouraged.
The junior professorship will contribute to teaching in the Faculty’s Bachelor's and Master's degree programmes. Experience in teaching courses in the area of quantitative methods for empirical research is desirable. The University of Göttingen is committed to research-oriented teaching.
Number of offers available 1 Company/Institute Department of Agricultural Economics and Rural Development Country Germany City Göttingen Postal Code 37073 Street Platz der Göttinger Sieben 5 Geofield