PhD Research Fellow in computer science/AI for energy informatics (ref 305184)

Descrizione

PhD Research Fellow in computer science/AI for energy informatics (ref 305184) Sintesi in italiano (traduzione automatica): L'Università di Oslo (UiO) cerca un Ricercatore PhD in informatica con specializzazione in AI per l'informatica energetica. Il candidato ideale ha una formazione in informatica, sistemi energetici o informatica energetica e sarà coinvolto in ricerche interdisciplinari su intelligenza artificiale e sistemi energetici. La posizione è completamente finanziata e durerà 3 anni, portando al conseguimento di un dottorato di ricerca. Le mansioni principali includono lo sviluppo di framework AI basati su teoria dei giochi, metriche FATE per i sistemi energetici e soluzioni di AI spiegabile. È richiesta una laurea in informatica o un campo correlato per candidarsi a questa opportunità di ricerca. We invite applications for position as PhD Research Fellow in computer science/AI for energy informatics available at the Department of Informatics (IFI), UiO. Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and Distributed Systems group at the Department of Informatics (IFI), University of Oslo (UiO) is seeking a highly motivated PhD candidate for a fully funded full time PhD position for the Norwegian National AI Center on AI for Decisions (aiD). The fellowship is for research training for a period of 3 years leading to the successful completion of a PhD degree. As a PhD candidate with us, you will gain valuable experience opening up exciting career opportunities in academia and industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In addition, you will derive formal FATE metrics for the energy system and develop Explainable AI solutions to ensure transparency while also addressing privacy preservation and computation-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand response, transactive energy peer-to-peer trading, and renewable integration) and (energy edge+) distribution grid resilience. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/305184/phd-research-fellow-in-computer-science-ai-for-energy-informatics Annuncio in inglese. Fonte: Euraxess (Commissione europea).