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students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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the vessels to identify and utilize quiescent periods during harsh weather conditions. To this end data from navigational radars and other relevant sensor channels will be used as input to models that can be
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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 that support the human learning and improving
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on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build
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Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and navigation data. The position is funded by the TwinShip
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24th November 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics on AI-Modeling for Prediction of Waves and Sea Loads
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involve applications of the existing framework and advancement in the interface towards integrated assessment and energy system models for scenario analysis. The selected candidate will join a team of
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and enable Sustainable Business Model (SBM) innovation. The current project's goal is to contribute to the establishment of new knowledge and principles for recycling spent LIBs by developing innovative
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-impact career paths in research and higher education, within academia, research institutes, or industry. We will employ a PhD candidate to perform research on development of an AI model that “understands