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of Norway (NFR). DYNCAT aims to develop highly predictive, physics-based models to study and optimize the Rochow Mülller process, which generates the raw material for silicone production. The project will
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techniques such as GMAW and laser-arc hybrid. The study shall be supported by numerical modelling and thermodynamic calculations. In the next step, the welds shall be characterized using advanced microscopy
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26th May 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Multiscale modelling of grain boundary failure in high-strength
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31st May 2025 Languages English English English We are looking for a PhD Candidate in Hybrid Dynamical Modelling for Ship Response Predictions Apply for this job See advertisement This is NTNU NTNU
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15th June 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Scalable Model Predictive Control for the Space-Heating
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Languages English English English Researcher in machine learning modeling of human physiological models Apply for this job See advertisement About the position Position as Researcher available at the Center
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Neuroscience. You must have a Master's degree in neuroscience, biomedical sciences or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained
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14th April 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in AI in hydraulic modelling to predict critical locations
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rotor aerodynamics challenge the way we model the aerodynamic loads for floating offshore wind turbines. The aim of the project is to increase the reliability of floating offshore wind turbines by
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tuneable materials for Earth-abundant solid-state electrolytes using atomistic simulations (primarily density functional theory, DFT, and molecular dynamics, MD) as well as developing machine learning models