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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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interested in programming and developing the next generation models for inflow forecasting? Work with us, SINTEF and the Hydropower industry to develop State of the art models for better water management. The
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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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for the three-year fellowship period. If you have employed AI-powered generative language models to prepare the project description, a declaration must be included at the end of the document, stating
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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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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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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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, methodological approaches, and a progress plan for the three-year fellowship period. If you have employed AI-powered generative language models to prepare the project description, a declaration must be included
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antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research
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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