Advertiser: Department of Economics, University of Tübingen

Field(s) of specialization: Development; Growth - Experimental Economics - Labor; Demographic Economics - Political Economy - Applied microeconomics

Position type(s): Postdoctoral Scholar

Location of job: Nauklerstraße 47, Tübingen, 72074, Germany

Degree required: Doctorate

Job start date: Flexible

Job duration: 3 years

Letters of reference required: 2

Application deadline: 15 Nov 2026 midnight UTC (accepting applications)

Posting end date: 22 Nov 2026

Ad text:

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 (f/m/d) in Applied Microeconomics (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. 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 by 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.