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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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24 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
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feedback and supervision. Structured and solution-oriented, with the ability to manage various tasks and meet deadlines. Critical thinking skills. Flexibility regarding working hours is required
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accelerator performance modelling Strong academic writing skill Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a structured way
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the NordForsk project ‘RISK-AI’ 230778. https://www.nordforsk.org/projects/responsible-innovation-and-social-kn… and is based at the Department of Computer Science in Trondheim. The candidate will work
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Curriculum: HEPARD’s training is carefully structured to provide core competencies essential for rigorous, policy-relevant research while offering flexibility to tailor your training to specific needs and
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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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characteristics To complete a doctoral degree (PhD), it is important that you are able to: Ability to work independently as well as in teams Work in a structured way, set goals and make plans to achieve them
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arising from the inclusion of scrap, and to control the processing parameters such that the structural integrity of the cast components can meet with the demands to performance. The starting date is August
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and