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description The University of Stavanger invites applicants for a PhD Fellowship in AI-based Vehicular Communication in 6G Edge Networks at the Faculty of Science and Technology, Department of Electrical
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in AI-based Vehicular Communication in 6G Edge Networks Apply for this job See advertisement Job description The
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adsorbent and separation process experience with porous material characterizations experience with metal-organic frameworks / ZIFs/ porous coordination networks experience with testing adsorbents
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and extensive networks. The department has approximately 100 employees with backgrounds in, among other things, engineering, economics, science, sociology and social sciences, and is characterised by
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personal skills for completing the project within the time frame international experience and network qualifications within the areas of creativity, innovation and commercialisation of research good teamwork
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is also placed on your: has expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi
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expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi-energy systems from different
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different measurement scenarios. Software implementation of sensor fusion and data-driven evaluation methods. Economic and risk analyses to quantify the value of various measurement strategies. Expected
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dynamics under different measurement scenarios. Software implementation of sensor fusion and data-driven evaluation methods. Economic and risk analyses to quantify the value of various measurement strategies
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Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is hosted