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in Power Electronics and Electric Drives and with a strong background in control theory. Applicants with a PhD in cybernetics and a strong background in electric power engineering will also be
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technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop ground-breaking methods and theories, and therefore solving fundamental problems in science, technology
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optimised systems. The position is part of a broader interdisciplinary effort within SAINT, and you will collaborate with researchers working across nuclear engineering, naval architecture, electrical power
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the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop
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research with skilled colleagues who share your interests? Maybe you can become our new colleague at the Department of Electrical Engineering, IT and Cybernetics at the Faculty of Technology, Natural
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Qualifications All items are requirements, unless it is specified that they are preferred qualifications. Master’s degree (120 ECTS credits) (or equivalent qualifications) within Mechanical Engineering, Electrical
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307594/phd-candidate-to-conduct-… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional
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for this job See advertisement The position A PhD position is available at the Department of Electrical Engineering , Faculty of Engineering Science and Technology in AI-Automated Voltage Control (VC
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statistical learning theory, privacy-preserving machine learning, or quantum information theory, demonstrated through publications in leading international venues. Expertise in related areas, such as coding
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD