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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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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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interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial
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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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: 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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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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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