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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Design Research Field Technology Researcher Profile Recognised Researcher
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of Architecture and Design (AD) has a vacancy for a fully funded 4-year PhD position. This interdisciplinary role is offered in collaboration with the Department of Design (ID). We are seeking a candidate motivated
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NTNU and the application process here. The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD candidate in AI in Ship Design, Construction and Operation. A PhD Position in Close
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, hydropower flexibility, storage, and increasing balancing needs. These developments strengthen the interaction between market design and physical power-system operation. In Europe and the Nordic region
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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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) systems. Building on the Norwegian Cyber Range's existing capabilities, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber
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the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware