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modern theory. The Department offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels
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-minute market time units, automated mFRR energy activation, and flow-based market coupling further increase the need for decision-support methods that are fast, robust, risk-aware, and suitable for real
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workflows under computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three
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computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice of risk measures
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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, transfer learning, uncertainty quantification and anomaly detection techniques. Design, evaluate and test automated control strategies (MPC, model-based and model-free RL) for optimal feeding and harvesting
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in computer science, automation, maritime-related engineering or equivalent
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. The supervision team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types