43 development "https:" "https:" "https:" PhD positions at NTNU Norwegian University of Science and Technology
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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. Kurusch Ebrahimi‑Fard and is connected to the research activities of the national project SURE‑AI. The PhD project focuses on developing mathematical and computational methods based on path signatures and
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to the development of next-generation AI-enhanced finite element methods for robust structural design. You will be part of a dynamic and internationally oriented research group with strong expertise in solid mechanics
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project NICE is a center for research-driven innovation (i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required
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advancing resilient and sustainable infrastructure? As a PhD Candidate with us, you will work toward earning your doctorate while developing strong expertise in probabilistic modelling, structural reliability
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Intelligence (AI) were launched in the Fall of 2025. These centres will foster interdisciplinary collaboration among researchers to address both scientific and societal challenges, develop new technologies
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frost resistance is therefore important for infrastructure, like roads, bridges, airfields, offshore installations, hydropower dams etc. The project investigates and develops new methods for producing
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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Sparebankstiftelsen Hedmark and Sparebank 1 Østlandet in collaboration with NTNU and industry partners. SAFE aims to develop, test, and demonstrate innovative anti-fraud and cybersecurity technologies, focusing