18 bayesian-network PhD positions at NTNU Norwegian University of Science and Technology in Norway
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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the design of a scalable, interoperable, and resilient quantum internet architecture and protocol stack for real-world operation in hybrid quantum–classical networks across intra- and inter-domain settings
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relevant topic in machine learning, embedded systems, and edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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in national and international activities such as conferences, seminars and workshops Follow the activities of and potential to build network in the national and international industry Be prepared
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to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence
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, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net-zero-emissions society. SecurEL aims to develop new
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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academic environment CELECT facilities, industrial network, a joint PhD environment and access to PhD school Inrescos Excellent research infrastructure (Experiments and modelling) Industry-as-laboratory