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the position We invite applications for a fully funded PhD position on the networked systems mechanisms, data paths, and open interfaces needed to support safe and efficient use of Generative AI (GenAI
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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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build on our international network, inviting prominent female academics within and beyond the field of Engineering to speak at our events. Salary and conditions In the position of PhD Candidate, code 1017
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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tasks in a strong international academic environment SFI FAST facilities, industrial network, and a joint PhD environment An open and inclusive work environment with dedicated colleagues Favorable terms
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climate impact, future gas turbine technology must be capable of operating using alternative low or zero carbon fuels and fuel blends to support the emergence of zero net CO2emission energy systems. However
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research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence, cryptography, digital forensics, security in e
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criteria for the position. Preferred selection criteria Knowledge of and network in the maritime industry Knowledge or interest in artificial intelligence (AI) Background in mixed methods (qualitative
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. Familiarity with accident databases, modelling of complex systems, or network analysis. Experience with scientific writing and conference dissemination. Personal characteristics To complete a doctoral degree
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of and network in the maritime industry Background in qualitative methods