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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Knowledge about energy systems, especially the operational characteristics of renewable energy production (wind/solar) and batteries Knowledge and interest in applying AI/machine learning to time-series data
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Fault detection in hydropower generators Apply for this job See advertisement
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
(as machine learning techniques, etc.). Personal characteristics In the evaluation of which candidate is best qualified for the PhD position, emphasis will be placed on education, experience and
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, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling. The centre has numerous collaborations with leading biomedical research groups internationally and in
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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the Marie Sklodowska-Curie Actions(MSCA) Doctoral Network HEPARD PhD Candidate in Health Economics and obesity Apply for this job See advertisement Job description Applications are invited for a 3-year
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machine learning applied to geophysical signals. Experience in managing research projects. We encourage early career (post PhD), mid-career and senior researchers to apply. LanguagesENGLISHLevelGood
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outcomes and economic performance, specifically addressing challenges such as overdiagnosis in cancer care. We will utilize economic theory, simulation, economic evaluation and machine learning to quantify
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promise and peril of hybrid intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research