Kamila Cygan-Rehm
1 month ago
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PhD or Postdoc Position in Labor Economics, Education, Public Health, and Causal Inference at TU Dresden Technische Universität Dresden in Germany
Degree Level
PhD, Postdoc
Field of study
Education
Funding
Paid university position at 75% TV-L E13 under the Saxon public-sector pay scale, initially fixed-term for 3 years with the option of extension. The post includes support for further qualification, conference participation, workshops, research stays abroad, and access to university benefits such as health/sports offerings and a discounted job ticket.
Deadline
Expired
Country
Germany
University
Technische Universität Dresden

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Keywords
About this position
Technische Universität Dresden is advertising a PhD or postdoc position at the Chair of Quantitative Methods, esp. Econometrics, in the Faculty of Business and Economics. The position is led by Prof. Kamila Cygan-Rehm and is centered on labor economics, education economics, public health, causal inference, econometrics, empirical economics, statistics, and policy evaluation.
The successful candidate will join a research group working with large-scale microdata and administrative datasets, including data from public agencies and large surveys. The chair’s research profile focuses on labor market, education, health, and population economics, with a strong emphasis on evaluating policy interventions using quasi-experimental and econometric methods.
This is a paid research position at 75% TV-L E13, initially fixed-term for 3 years, with the possibility of extension. The post includes opportunities for further qualification, participation in teaching, publication and conference activity, and support for research stays and international networking. Teaching is part of the role and can be done in English.
Eligibility highlights: applicants should have a completed or nearly completed doctorate for the postdoc track, or a strong academic profile suitable for a PhD-level research appointment depending on the applicant profile. Strong quantitative skills in econometrics/statistics and experience with Stata, R, or Python are expected. Good English is important; good German is helpful but not necessarily required.
Application deadline: 2026-06-30. Applications should be submitted with the usual documents, preferably via the TU Dresden SecureMail portal or by email as a PDF to [email protected]. The application should be addressed to Prof. Dr. Kamila Cygan-Rehm, Technische Universität Dresden.
Funding details
Paid university position at 75% TV-L E13 under the Saxon public-sector pay scale, initially fixed-term for 3 years with the option of extension. The post includes support for further qualification, conference participation, workshops, research stays abroad, and access to university benefits such as health/sports offerings and a discounted job ticket.
What's required
Applicants should have a completed or nearly completed PhD/doctoral degree for the postdoc track, or a completed or nearly completed university degree with an expected/ongoing doctorate for the PhD track. The post emphasizes strong interest in labor economics, education, public health, causal inference, and empirical policy evaluation using large-scale microdata. Required skills include solid knowledge of econometrics, statistics, and methods for analyzing causal effects, plus practical experience with statistical software such as Stata, R, or Python. Applicants should be self-directed, structured, team-oriented, highly motivated, and have strong presentation and communication skills. Very good English is expected; very good German is helpful and may be required for the postdoc version if German is not the native language.
How to apply
Prepare a complete application with the usual documents and submit it by 2026-06-30. Send it preferably via the TU Dresden SecureMail portal or by email as a PDF to [email protected]. Address the application to Prof. Dr. Kamila Cygan-Rehm at TU Dresden.
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