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a part of the Norwegian Research Council funded research project AIP – «Artificial Intelligence: Growth, Inequalities and Public Policies». The position is for three years, with a possibility of
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learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of
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problem solving, advanced techniques in algebraic and symplectic geometry as well as artificial intelligence. Qualification requirements We are looking for applicants with a strong academic background who
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explore how students and teachers interact with artificial intelligence (AI). The position focuses on identifying opportunities, risks, and challenges emerging from this human-AI symbiosis, and on guiding
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of 75 % PhD Research Fellow and 25 % teaching duties. About the PhD-project “Transformative AI for Railway Systems” (TransAIRail) project combines Power Engineering and Artificial Intelligence (AI
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for offshore wind at Norwegian yards: Efficient operations through digital twins and artificial intelligence”. The candidate will be part of the Production Management research group at NTNU’s Department
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, UiO) and one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Work and/or research experience in machine learning, artificial intelligence, cable technology and/or
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games, disruptive communication, deliberative polling and artificial intelligence contribute to extend the space of imaginable sustainable energy policy pathways for societal stakeholders? How can such