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to specialized courses, networking opportunities, and a broad national research community. The successful candidate will be expected to contribute to EPINOR's research and training activities and help strengthen
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to complex climate risks. Your main duties and areas of responsibility will be to co-design and implement innovative science-policy engagement processes design and administer surveys and participatory research
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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will be integrated into the research activities of the Centre for Research-based Innovation SFI‑CELECT : Industry‑oriented Research Centre for Effective Engineering and Learning in Complex Systems. You
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and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language requirement: Good oral and written communication skills in English English requirements
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. The aim of the candidate is to fabricate and characterize wearable optical metasurfaces and photonic crystals. Main focus will be the understanding of the complex interactions of light with photonic devices
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prices through marginal values, shadow prices, congestion components, scarcity signals, and the relationship between market outcomes and physical network constraints. Regulatory aspects also need to be
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in complex decision-making processes. Hosted by the Norwegian University of Science and Technology (NTNU) and SINTEF aiD bridges technological, organizational, and human-centric gaps to foster a