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management, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in optimisation, microeconomics, scientific methods Elective courses in operations research
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, shipping, predictive modelling, or climate risk Elements from the two tracks can be combined. For more information about the Department of Business and Management Science and its research profile, visit
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estimation, and learning-based prediction models that anticipate the future motion of vessels seen in the radar data, based on the radar data, local geography and historical patterns. The methods
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signatures for data association and state estimation, and learning-based prediction models that anticipate the future motion of vessels seen in the radar data, based on the radar data, local geography and
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selection criteria You must have a relevant master’s degree in Geotechnical Engineering. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's
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management, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in optimisation, microeconomics, scientific methods Elective courses in operations research
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, semantics, functional relationships, and actionable affordances, and enabling predictive reasoning to bridge gaps when observations are missing or unreliable. As an optional extension, a learned world-model
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the broader framework of Embodied AI. The goal is to integrate physical models with deep learning to create interpretable, data-driven observers that enable physically grounded perception and control for robust
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explainable physics-informed RNNs for autonomous navigation and neural observer design within the broader framework of Embodied AI. The goal is to integrate physical models with deep learning to create
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks