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Field
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Knowledge of or experience with semantic modeling, knowledge representation and automated reasoning Knowledge of or experience with knowledge-based engineering and system engineering Knowledge
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feature maps and emerging quantum‑inspired or hybrid computational approaches to machine learning. Potential applications span time‑series analysis, dynamical system modelling, and the data‑driven study of
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feature maps and emerging quantum‑inspired or hybrid computational approaches to machine learning. Potential applications span time‑series analysis, dynamical system modelling, and the data‑driven study of
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20 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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, spectral libraries with an extended spectral range will be generated and used for material mapping and classification, employing multivariate analysis (MVA) and advanced data-driven approaches, including
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Experience with risk analysis, process safety, or safety engineering. Familiarity with accident databases, modelling of complex systems, or network analysis. Experience with scientific writing and conference
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the research group of Knowledge-based engineering and knowledge-driven systems at the department; Participate in international activities such as conferences and research stays at foreign educational
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engineers, and comparisons with current document‑driven approaches. We are aiming at improvements in the visibility of dependencies, the assessment of change impacts, and the potential for AI‑assisted
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PhD Fellowships in Physics at the Faculty of Science and Technology, Department of Mathematics and Physics. The start date is flexible, but must be no later than September 2026. This is a trainee
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opportunities? Do you have a background in Electric Power and/or Control Engineering, and are you interested in working at the intersection between both fields? As a PhD candidate with us, you will work toward