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an interdisciplinary research team; Excellent publication records; Experience in large-scale earth observation analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven
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provides an exciting opportunity to explore and combine different research areas as well as to learn a variety of scientific skills and technologies while making connections within and beyond the institute
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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 a strong team
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics