28 Design "https:" PhD positions at NTNU Norwegian University of Science and Technology
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. The Department of Architecture and Planning is one of four departments in the Faculty of Architecture and Design Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307613/phd-candidate-in
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for innovation and new solutions. The Department of Ocean Operations and Civil Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available
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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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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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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
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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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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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face of adversity. Show curiosity and a strong motivation for the subject. Analyze data, assess different perspectives and draw well-founded conclusions. Be flexible and open to adjusting the plan
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of Biotechnology and Food Science, NTNU. The position is linked to AIMARIA – Accelerating Innovation in Marine AI-Powered Bioprospecting, a Horizon Europe Innovation Action coordinated by NTNU. AIMARIA combines
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits