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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
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oscillator. With this project we want to combine competences developed in this area with advanced materials development and modeling to open up a new path based on coupling magnetodynamic oscillators with nano
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is a dominant load, and advanced control can adapt this load by changing the indoor temperature in time. Model Predictive Control (MPC) is gaining increasing interest in performing this space-heating
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Engineering at NTNU in Gjøvik seeks a PhD candidate to work in the field of circular economy and wood-based construction. The position aims to optimize circular value chains for wood-based materials by
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, and plans are far advanced for the installation of similar sensors in the fjords of the municipality. This position will support the development of an integrated and intelligent system for monitoring
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assessment of soil properties. Using 3D data and building information modelling (BIM), we will optimize excavation planning. The project requires interdisciplinary collaboration and advanced technological
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of Bergen and NORCE, Bergen. SFI Smart Ocean is advancing a wireless observation system for multi-parameter monitoring of underwater environments and installations. The system employs autonomous smart sensors
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under the supervision of faculty from the University of Bergen and NORCE, Bergen. SFI Smart Ocean is advancing a wireless observation system for multi-parameter monitoring of underwater environments and
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advances, challenges like time-consuming segmentation and model complexity limit clinical adoption. This project aims to streamline segmentation and develop real-time biomechanical assessment tools, bridging
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, techniques and the research basis for a portable AI-based, marker-free 3D modelling system to generate personalized avatars. We utilize recent advances in programming tools for hybrid physics-AI problems and