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University of Tübingen
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Postdoctoral Researcher in Applied Microeconomics, Machine Learning, and Field Experiments University of Tübingen in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time E13 TV-L position at 100% for three years, with a possible extension. The intended start date is 1 May 2027, with earlier or later starting dates possible. Additional funding is available for conference trips, student research assistants, experiments, and inviting coauthors.
Deadline
Nov 15, 2026
Country
Germany
University
University of Tübingen
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About this position
The University of Tübingen is recruiting a Postdoctoral Researcher in Applied Microeconomics for the Chair of Machine Learning Methods in Business and Economics in the Faculty of Economics and Social Sciences and the Cluster of Excellence “Machine Learning in Science.”
The newly formed team studies labor economics, development economics, and political economy using microeconometric methods and field experiments. A major part of the research agenda is the development and application of machine learning methods to identify economic effects accurately and extract insights from unconventional or unstructured data, including images, video, text, and audio.
The successful researcher will join a collaborative, internationally oriented research environment and contribute to joint research projects while continuing to develop independent research. The position is a full-time research role without a regular teaching load, allowing the postdoctoral researcher to focus strongly on empirical economic research and methodological innovation.
The research environment includes seminar series in economics, machine learning, and management studies, as well as the University of Tübingen’s School of Business and Economics, which brings together more than 40 faculty members, including professors, junior professors, and postdoctoral researchers. The university is located in Tübingen in south-west Germany and is one of Germany’s Universities of Excellence, with a Cluster of Excellence for Machine Learning in Science.
The opening is particularly suited to researchers interested in applied microeconomics, causal and empirical methods, field experiments, and the use of machine learning for economic research.
Funding details
Full-time E13 TV-L position at 100% for three years, with a possible extension. The intended start date is 1 May 2027, with earlier or later starting dates possible. Additional funding is available for conference trips, student research assistants, experiments, and inviting coauthors.
What's required
Applicants must hold or be close to completing a Ph.D. in economics or a related discipline such as data science. Candidates should have a strong background and keen interest in applied microeconomics, especially labor, political economy, or development, and a strong interest in using machine learning with unstructured data such as images, text, or video. Experience with field experiments is particularly encouraged. Fluency in English is indispensable; German is not required.
How to apply
Submit a cover letter, job market paper, CV, and at least two letters of recommendation through EconJobMarket at https://econjobmarket.org/positions/12911 by 15 November 2026. Contact Prof. Felix Rusche with questions about the position or application process.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.