11 numerical-modelling PhD positions at NTNU Norwegian University of Science and Technology
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industry in both acoustics and solar energy. You will gain expertise in experimental acoustics, advanced numerical modelling, sustainable building technologies and performance optimization. Are you motivated
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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variability influence stiffness and failure behaviour, particularly when recycled alloys are used. The work will combine experimental characterization with numerical modelling to improve the predictive
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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for the position. Preferred selection criteria Experience with numerical modelling of structural or aeroelastic systems Experience with structural monitoring or experimental structural dynamics Experience with data
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drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models for drillability prediction, real‑time parameter optimization, and integration
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an innovative 'multi-scenarios' interpretation protocol, strengthened by a careful compilation of the related geophysical signals and modern numerical modelling experiments. The research activities will be
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dedicated to the study of all aspects of concrete. Our research interests range from the material to the structural level and are based on theoretical, numerical, and experimental investigations. The PhD
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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the position A central challenge in applying AI to the maritime domain is that much of the underlying technical knowledge is implicit and scattered across numerous documents. This fragmentation makes it