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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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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI technologies. The next decade will bring extensive digitization of operational data
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with
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employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite
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extended to more strongly coupled market combinations and other flexible energy resources. The project therefore offers the opportunity to work at the intersection of artificial intelligence, optimization
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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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position focused on the development of hybrid artificial intelligence and optimization methods for dynamic and stochastic transport operations. The position is based at the Department of Industrial Economics
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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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on processes within the central Arctic Ocean, its interactions with the surrounding seas, and how these dynamics connect to broader climatic and political systems. Field activities will primarily take place in