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W1 Professorship in Machine Learning in Agricultural and Food Economics (f/m/d)
Georg-August-Universität ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô
Temporary
Full Time
Apply by: 2025-12-14
Published: 2025-11-06
³Òö³Ù³Ù¾±²Ô²µ±ð²Ô
The University of ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô enjoys high international acclaim, owing to its long research tradition and broad spectrum of subjects in the natural sciences, life sciences, humanities and social sciences. With more than 210 degree courses, we offer an attractive range of subjects for around 30,000 students. ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô is characterized by the close cooperation of the University, the University Medical Center and seven non-university research institutions that forms the ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô Campus. Its innovative, interdisciplinary potential creates excellent conditions for cutting-edge research at the highest international level.
The Faculty of Agricultural Sciences at the University of ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô 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 ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô. 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 ³Òö³Ù³Ù¾±²Ô²µ±ð²Ô is committed to research-oriented teaching.Additional actions
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