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, based on a grant from Villum Fonden. The project builds on recent advances in the economics of science and innovation, applying state-of-the-art citation- and text-based measures to capture atypical
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decision-analytic modelling and applied econometric work. It offers the opportunity to generate new methodological and empirical insights into the evaluation of health-system-strengthening strategies
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completed before September 2026) in Civil Engineering, Hydrology, Actuarial Science, Econometrics, Applied Statistics or a related field; Experience with statistical modelling and regression analysis applied
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other field or laboratory instrumentation Apply appropriate behavioral, statistical, econometric, causal, spatial, machine learning, deep learning, computer vision, time-series, or mixed-methods
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Abilities: Strong training in applied econometrics, including causal inference methods. Demonstrated ability to conduct independent research and write for academic audiences. Applicants should submit a cover
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the January 1, 2027 start date in economics, applied/agricultural economics, regional science, public policy, or a closely related quantitative social science field Demonstrated quantitative/econometric skills
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the January 1, 2027 start date in economics, applied/agricultural economics, regional science, public policy, or a closely related quantitative social science field Demonstrated quantitative/econometric skills
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hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a
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software and programming environments. Experience with optimisation, simulation, econometrics, or data analysis applied to energy or market data. Knowledge of data centre operations, computing infrastructure
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or related Applied Economics discipline with a strong quantitative focus. Demonstrable knowledge of applied econometrics and statistical evaluation methods, such as: Difference-in-Differences (DiD