20 model-checking PhD positions at NTNU Norwegian University of Science and Technology
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candidates within Modelling Strength and Failure in Recycled AluminiumAlloys funded through the Centre for Research-based Innovation SFI FAST – Future Aluminium Structures. The positions are linked
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, a lot of digital traces are left for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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reflection interpretation (2D regional and 3D blocks), potential field modelling, and plate reconstructions. The total duration of the Ph.D. position is three years, starting by August 1st 2026. The PhD
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might alternative or hybrid solutions provide advantages? The candidate is expected to take initiative to narrow the research scope toward concrete applications. Prototype information models and
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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tools often fail to predict stability issues due to model inaccuracies and the uncharacterized dynamics of PECs, which are typically proprietary and not fully disclosed by manufacturers. Efforts
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge