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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
fellowship starting in 2026. The PhD candidate will be embedded in the research activities of SFI FAST centre related to forming processes and will work closely with NTNU, SINTEF, and leading international
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processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced
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with SINTEF and a broad consortium of 16 leading industrial partners across the aluminium value chain. FAST runs from 2026 to 2033 and represents one of Norway’s most ambitious long-term research
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of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF Nordvest. There are about 30 user partners from the maritime sector, in addition to hundreds of members
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), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF Nordvest. There are about 30 user partners from the maritime sector, in
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of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF Nordvest. There are about 30 user partners from the maritime sector, in addition to hundreds of members
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University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF Nordvest. There are about 30