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Adam Agristok
Top university
11 months ago
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Fully Funded PhD Positions in Agricultural Economics, Environmental Economics, and AI at Technical University of Munich Technical University of Munich in Germany
Degree Level
PhD
Field of study
Machine Learning
Funding
These are fully funded PhD positions, covering tuition and providing a stipend. No specific stipend amount is mentioned.
Deadline
Nov 22, 2026
Country
Germany
University
Technical University of Munich
Suggested positions
Keywords
About this position
The Chair Group of Production and Resource Economics at the Technical University of Munich (TUM) in Germany is inviting applications for two fully funded PhD positions in Economics. These positions are designed for candidates interested in quantitative economic research, policy evaluation, sustainability, and innovation, with a strong emphasis on international collaboration. The research environment connects the School of Management and the School of Life Sciences, both part of Germany’s Excellence Initiative.
Research themes include natural resource and environmental economics, AI and smart livestock technologies, climate change policy analysis, food and agricultural market economics, and production efficiency and market evaluation. The ideal candidate will have a background in Economics, Environmental Economics, or Agricultural Sciences, with experience in econometrics, statistics, or machine learning. English proficiency is required, and candidates should be willing to learn German.
Funding for these PhD positions is fully provided, covering tuition and offering a stipend. The program encourages global applicants and offers the opportunity to work on cutting-edge research topics in a highly international setting. For more information and application instructions, visit the provided link. The application deadline is November 22, 2025.
Keywords: Agricultural Economics, Environmental Economics, Econometrics, Climate Policy, AI in Agriculture, Food Market Economics, Production Efficiency, Sustainability, Machine Learning.
Funding details
These are fully funded PhD positions, covering tuition and providing a stipend. No specific stipend amount is mentioned.
What's required
Applicants should have a background in Economics, Environmental Economics, or Agricultural Sciences. Experience in econometrics, statistics, or machine learning is preferred. Candidates must demonstrate English proficiency and be willing to learn German. TUM encourages global applicants.
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Professors
United States
Research Interests
Agricultural Economics
Microeconomics
Economics
Environmental Science
Climate Policy
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.