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Position: PhD candidate in Smart European Electricity Markets
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Successful candidates will carry out research in the area of Smart European Electricity Markets, making a contribution to a successful energy transition in Luxembourg and the EU. As such, the candidate will also be involved in various (inter-)national initiatives and engage with different (political) decision makers to shape future markets in Europe. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high policy impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests
Requirements: Master’s degree in Energy Policy, Energy Economics, Mathematics, Operations Research, or a related field; Strong knowledge of quantitative and/or computational research methods, ideally optimization and simulation models or forecasting/econometric analysis; Proficiency in one of the major programming languages such as Python; A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society
   
Text: PhD candidate in Smart European Electricity Markets Successful candidates will carry out research in the area of Smart European Electricity Markets, making a contribution to a successful energy transition in Luxembourg and the EU. As such, the candidate will also be involved in various (inter-)national initiatives and engage with different (political) decision makers to shape future markets in Europe. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high policy impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests Master’s degree in Energy Policy, Energy Economics, Mathematics, Operations Research, or a related field; Strong knowledge of quantitative and/or computational research methods, ideally optimization and simulation models or forecasting/econometric analysis; Proficiency in one of the major programming languages such as Python; A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society
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