Publisher
source

Johannes Sauer

Top university

8 months ago

PhD Positions in Empirical Microeconomics and Agricultural & Resource Economics at Technical University of Munich Technical University of Munich in Germany

Degree Level

PhD

Field of study

Environmental Science

Funding

The position is salaried in accordance with the German State Regulated Public Salary Scale (starting at TV-L E13 2/3). The initial appointment is for 2 years with the possibility of extension. The position may be funded through national or international projects, including EU Horizon projects. No specific stipend amount is mentioned.

Deadline

Expired

Country flag

Country

Germany

University

Technical University of Munich

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Keywords

Environmental Science
Agriculture
Quantitative Analysis
Environmental Economics
Microeconomics
Climate Policy
Economics
Resource Economics
Statistics

About this position

The Chair of Agricultural Production and Resource Economics at the Technical University of Munich (TUM) is seeking two PhD candidates for research in Empirical Microeconomics, Applied Microeconomics, Agricultural & Resource Economics, and Applied Economics. The positions are based at TUM's School of Management and School of Life Sciences Weihenstephan, offering a highly international and stimulating research environment.

Research topics include productivity and efficiency measurement, policy design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion, firm-level innovation, natural resources and environment, digitalisation and AI in livestock sectors, climate change and policy, and food and environmental policy impact analysis. The successful candidates will conduct empirical research in these areas, leading to an internationally competitive PhD degree and peer-reviewed publications.

The initial appointment is for 2 years, with the possibility of extension, and is salaried according to the German State Regulated Public Salary Scale (TV-L E13 2/3). The positions may be funded through national or international projects, including EU Horizon projects. Candidates will receive high-quality supervision from senior academic staff and may participate in teaching, funding acquisition, and global outreach. International networking and collaborations are encouraged, especially with regions such as South America, Asia, or Africa.

Applicants must hold an excellent or very good university degree in economics, environmental economics, agricultural sciences with a focus in economics, or related disciplines. Strong analytical and methodological skills in quantitative data analysis (econometrics, statistics, machine learning) are required. Candidates should be highly motivated, able to work independently, and possess strong team orientation. Excellent spoken and written English is required, and candidates should be willing to acquire a working knowledge of German.

Applications should include a cover letter, CV, references, and key documents (transcripts, degree certificates) in a single PDF, sent to Professor Johannes Sauer ([email protected]). Applications are reviewed on a rolling basis until March 29, 2026. For further information, contact Maria Vrachioli ([email protected]) or Dr. Fabian Frick ([email protected]). TUM is an equal opportunity employer and encourages applications from women and underrepresented groups.

More information about the group is available at https://www.ep.mgt.tum.de/pur.

Funding details

The position is salaried in accordance with the German State Regulated Public Salary Scale (starting at TV-L E13 2/3). The initial appointment is for 2 years with the possibility of extension. The position may be funded through national or international projects, including EU Horizon projects. No specific stipend amount is mentioned.

What's required

Applicants must have an excellent or very good university degree in economics, environmental economics, agricultural sciences with a focus in economics, or related disciplines. Strong analytical and methodological skills are required, with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning). Candidates should demonstrate high motivation, the ability to work independently, and strong team orientation. Excellent spoken and written English is required, and candidates should be willing to acquire a working knowledge of German.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Statistics

Environmental Economics

Resource Economics

Economics

Agriculture