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information. You must have a relevant Master's degree in information systems, or in management, organization theory, sociology, or science and technology studies with particular emphasis on digitalization. You
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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of theory and methods. It should also include a progress plan for the different parts of the project. The research proposal must also include a short description of how the applicant envisions a fit with the
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of the art (the project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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expected to: Demonstrate analytical ability and intellectual curiosity Be highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically challenging
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modern theory. The Department offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels
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highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically challenging problems Work independently while collaborating effectively in
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made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Solid understanding of control theory, including classical and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
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