University of Tübingen 
Tübingen, Germany Offer Summary
The University of Tübingen invites applications for a Postdoctoral Researcher in Applied Microeconomics within the Faculty of Economics and Social Sciences and the Cluster of Excellence “Machine Learning in Science.” This full-time, three-year position, starting May 2027, focuses on labor, development, and political economy using microeconometric methods and field experiments. Candidates will also develop machine learning techniques to analyze unstructured data such as images, text, and video. The role involves leading joint research projects without a regular teaching load. We seek highly motivated PhD holders in economics or related fields with strong backgrounds in applied microeconomics and interest in unstructured data analysis. Experience in field experiments is preferred. The university offers a collaborative international environment, funding for conferences and research assistants, and high-quality seminar series. Fluency in English is required; German skills are not necessary. Applications must be submitted via econjobmarket.org by November 15, 2026.
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Project Description
The Chair of Machine Learning Methods in Business and Economics at the Faculty of Economics and Social Sciences at the University of Tübingen and the Cluster of Excellence “Machine Learning in Science” invite applications for the position of a
Postdoctoral Researcher in Applied Microeconomics
(f/m/d, E13 TV-L, 100%)
Intended starting date is 1 May 2027, but an earlier or later date is possible. The contract duration is for three years. An extension may be possible.
Our research
The research of our newly formed team spans labor, development, and political economy using both microeconometric methods and field experiments. Beyond this, we aim to develop and apply machine learning methods to both accurately identify economic effects and draw insights from unconventional or unstructured data (e.g., image, video, text, audio).
The position
The post-doctoral position is a full-time research position without a regular teaching load. The successful candidate will be engaged in and take the lead in joint research projects in addition to continuing work on his/her own projects.
We offer:
- A lively, internationally oriented, collaborative, and friendly research environment
- High-quality research seminar series in economics, machine learning, and management studies
- Funding to finance conference trips, hire student research assistants, run experiments, invite coauthors etc.
Your profile
We are seeking a highly motivated, curiosity-driven candidate that holds (or is about to finish) a Ph.D. in economics or a related discipline (e.g., data science). The candidate should have a keen interest and strong background in applied microeconomics (especially labor, political economy or development) as well as a strong interest in exploring unstructured data (e.g. image, text, video,…) using machine learning methods. Candidates with experience in field experiments are particularly encouraged to apply. Fluency in English is indispensable. German skills are not necessary.
Environment
The University of Tübingen, spread across the small and picturesque town of Tübingen in south-west Germany, is one of 11 Universities of Excellence in Germany, with a Cluster of Excellence for Machine Learning in Science. The University’s School of Business and Economics hosts more than 40 faculty, including professors, junior professors, and post docs. It attracts excellent students in its B.Sc. and M.Sc. programs, in part due to its strong international orientation. We offer an open and supportive work environment with a strong research orientation, which is also part of our teaching philosophy.
The University of Tübingen aims to increase the proportion of women in research and teaching and therefore particularly encourages qualified women scientists to apply. The University of Tübingen is committed to equal opportunities and diversity and actively promotes gender equality. Disabled candidates will be given preference over other equally qualified applicants.
How to apply
Please submit your application including a cover letter, job market paper, CV, and at least two letters of recommendation via econjobmarket.org/positions/12911by 15 November 2026. In case you have questions about the application process or the position, please contact Prof. Felix Rusche.
The employment will be arranged by the Central Administration of the University of Tübingen.
