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and oral communication skills in English. Ability to work independently and as part of a team. Prior experience with large datasets, econometrics, or geospatial analysis is a strong asset. We offer We
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thesis and complete 90 credits of PhD coursework. This position is part of a collaboration between researchers at the Swedish University of Agricultural Sciences, Kwame Nkrumah University of Science and
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of econometric methods, statistical software (e.g., Stata or R), or experience with economic experiments is an advantage. Independent yet collaborative – You can work autonomously while thriving in a team-based
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic
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a PhD student in applied economics, you will pursue supervised research leading to a thesis and complete 90 credits of PhD coursework. This position is part of a collaboration between researchers at
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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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to stimulate cycling. This four-year PhD project is part of Horizon Europe project Bio-Intel-Mob. The project focuses on integrating sustainable mobility and logistics with intelligent solutions
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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 a strong team
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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