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The Econometric Institute is looking for a highly motivated PhD candidate for a joint project of the Erasmus University Rotterdam, TNO in The Hague, and the Netherlands Defence Academy (NLDA) in Den Helder Job
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: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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collaboration with The Productivity Institute (TPI) and the South West Productivity Forum. This opportunity is particularly well-suited for students with a strong background in Economics, Econometrics, Management
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management knowledge into relevant research designs; developing research questions; applying appropriate econometric and qualitative analytical tools; writing scientific manuscripts and compile a Ph.D. thesis
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Environmental economics, and Public policy We welcome candidates with a strong background in economics, econometrics, or related disciplines, and a clear interest in exploring real-world questions—policy-related
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expect a Masters degree in Economics, or overseas equivalent, that includes core classes in Microeconomics, Macroeconomics, Econometrics and a dissertation or research project. Alternative qualifications
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use, and public economics, the research will contribute both to academic literature and practical policymaking. The PhD candidate will develop advanced skills in economic/econometric analysis and