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. Digital twin technologies offer a promising approach for modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating
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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer science
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increasing demands for safe and efficient operations due to growing traffic, more complex vessels, and higher safety requirements. Simulator-based training is essential for preparing maritime professionals
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
aluminium of high recycled content. The use of post-consumer scrap (PCS) in structural components (e.g. for automotive applications) is expected to increase with growing sustainability demands. Understanding
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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of the PhD work, the motivation and background for WP1 is briefly given below: There are increased operational stresses on the power system due to various factors such as evolving complexity of the power
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) Personal characteristics We are looking for someone who: Is curious, structured, and able to work independently on complex research problems Collaborates well in interdisciplinary teams and contributes to a
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of the PhD work, the motivation and background for WP1 is briefly given below: There are increased operational stresses on the power system due to various factors such as evolving complexity of the power
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Operation Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
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for the position. Preferred selection criteria You have Experience designing explanations/visualisations for complex data, models, or uncertainty Experience with evaluation of decision-support systems in safety