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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services
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Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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. Applicants must have excellent skills in oral and written English. Fluency in a Scandinavian language is an advantage. All our staff is given the opportunity to attend courses in order to learn Norwegian and
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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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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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to achieve them. Acquire new knowledge quickly and use existing knowledge in new ways. Work constructively under pressure or in the face of adversity. Demonstrate strong problem-solving abilities with a
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principles for BGC expression and to support iterative AI-guided design–build–test–learn cycles. The precise scope of the doctoral project will be refined according to the candidate’s qualifications, the BGCs