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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate to conduct research on Artificial Intelligence
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to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science, Cyber Security, or an equivalent field. Your
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the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As a PhD research
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technologies for automated leakage detection and localization, analysis of complex measurements, fault-response characterization, intelligent exploration of large experimental spaces, and adaptive selection
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decision-making, computational efficiency, generalization under changing market conditions, and safe constraint handling. The PhD candidate will develop and validate decision-support methods based on deep
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conceptual and practical research using drone detection systems, interceptor drones and other technologies driven by advanced sensors, data communication systems, and artificial intelligence. Are you motivated
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academic backgrounds include: Operations research Computer science Artificial intelligence or machine learning Applied mathematics Engineering disciplines with strong quantitative and algorithmic content
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industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to
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project examines how applications of artificial intelligence reshape practices, norms, and accountability across professional domains. Informed by recent research demonstrating unexpected consequences of AI