11 graph-theory PhD positions at NTNU Norwegian University of Science and Technology in Norway
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, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph-based network analysis Exposure to resilience, reliability engineering, or security analysis (including
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tools without disrupting established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where
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-driven forward and inverse design Experience in the construction generative artificial intelligence on material design Experience in the application of graph neural networks on inverse design Experience
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong computational skills Background in structural reliability theory or probabilistic methods Knowledge
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for the project as needed Combine theory and practice using industry-as-laboratory approaches. Emphasis will be placed on personal qualities. We offer Exciting and stimulating tasks in a strong international
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Knowledge of plasticity theory. Knowledge of constitutive modelling of materials. Knowledge of non-linear finite
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selection criteria Experience of scientific publishing. Knowledge and experience of machine learning, preferably distributed machine learning. Knowledge and experience of coding and information theory
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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class of its own among Norwegian universities. This ensures a practical focus for our study programmes, while they are firmly anchored in modern theory. The Department offers programmes in automation