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Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis
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(or equivalent) in both the thesis and the master's degree. Expertise in numerical modeling, programming, handling large amounts of data, and experience with AI and machine learning is an advantage. Good
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Data Science research group at the Department of Mathematics. Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community. The Statistics and
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4th January 2026 Languages English Norsk Bokmål English English PhD Fellowship in Urban Morphology, Accessibility and Mobility Cultures Apply for this job See advertisement Job description The
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by integrating petrophysics, rock physics, geophysics, geomechanics and machine learning. A detailed project plan will be developed in collaboration with the successful candidate at the start of PhD
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of Agder, Faculty of Engineering and Science as a PhD Research Fellow in cybersecurity for Electrical Smart Grid, affiliated to the Department of Information and Communication Technology for a period of
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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
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17th December 2025 Languages English Norsk Bokmål English English PhD Fellowship in molecular modelling and machine learning for improved subsurface utilization Apply for this job See advertisement
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strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience in modeling, coding, and programming documented experience from real-world energy
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pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a