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addressed before the transition from fossil fuels to hydrogen can take place. This PhD position is affiliated with the FME HYDROGENi center, funded by the Research Council of Norway, which aims to build a
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invite applications for a three-year PhD Research Fellowship in probabilistic machine learning and statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) , Department of Biostatistics
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the period 2027-2031, the position is primarily funded by the Norwegian Research Council funded centers “Center for Sustainable Subsurface Resources” (CSSR ), and “gigaCCS ”, in which the University of Bergen
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simulations. The project is funded by the Research Council of Norway and is a collaboration between NTNU and Norsk Regnesentral (The Norwegian Computing Centre). The PhD candidate will be a part of the research
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applications for a three-year PhD Research Fellowship in probabilistic machine learning and statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE) , Department of Biostatistics, Institute
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, knowledge, beliefs, abilities, etc. The project will be conducted within the Logic and Artificial Intelligence (LAI) research group (https://www4.uib.no/en/research/research-groups/research-group-for-logics
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“SFI Seaweed - Centre of gravity for industrial seaweed research and innovation” funded by the Research Council of Norway. The PhD position is linked to the “SFI Seaweed - Centre of gravity
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, power and technology in society, and in exploring how these shape democratic processes and social life through the case of data centre developments in Norway. In this position, you will conduct research
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October 2026. aiD is a national flagship AI centre established to develop AI systems that humans can audit, understand, and trust. The centre works with applications in domains such as energy systems
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synthetic and real. The project will leverage the extensive underwater robotics infrastructure at NTNU and the Norwegian Centre for Embodied AI. The PhD candidate will be supervised by Kostas Alexis, head of