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printing), enabling new design opportunities and advanced construction techniques. The research methodology combines theoretical modelling and experimental validation. The work will begin with an extensive
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, or using climate modeling such as the Norwegian Earth System Model to constrain models and observations. Your immediate leader will be the Head of Department. About the project The PhD candidate will join
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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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focus of this position is research on hydrodynamic loads and performance of tidal turbines under realistic flow and clearance conditions. Tidal-stream energy offers a predictable, complementary renewable
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are offering a fully funded PhD position in the field of Physics-informed Learning-based Control. This interdisciplinary research area bridges control theory, machine learning, and physics-based modeling
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31st October 2025 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Geothermal Drilling for Nordic conditions - IV-101/25 Apply for this job See
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources