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Kamila Cygan-Rehm

5 months ago

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 flag

Country

Germany

University

Technische Universität Dresden

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Keywords

Education
Labor Economics
Causal Inference
Salud Pública
Economics Of Education
Experimental Economics
Econometric
Economics
Statistics

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.

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Professors

Professor für Quantitative Verfahren, insb. Ökonometrie (tt)

University Name
Country flag

Germany

Research Interests

Statistics

Labor Economics

Education

Econometric

Salud Pública