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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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Fotograf Morten Hjertø 21st November 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
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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
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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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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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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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models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based
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observing systems to adapt and learn from data - identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling
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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