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16th March 2026 Languages English English English The Department of Structural Engineering has two vacancies for SFI FAST: PhD positions in Modelling Strength and Failure in Recycled Aluminium
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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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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as
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of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296674/phd-candidate-in-trustwor… Requirements Research FieldComputer scienceEducation LevelMaster
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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date
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that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date, and that you participate
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from information security, maritime operations, data engineering, and data governance. The research will include structured review of relevant literature, exploratory studies with industry partners and
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condition monitoring and predictive maintenance — drawing upon established practices in aviation and aerospace engineering — with emerging methodologies in artificial intelligence, and to adapt