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semantic interoperability Explainable and trustworthy AI aligned with European regulations The PhD candidate will contribute to modelling, system validation, and scientific dissemination within the project
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) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP Knowledge of or experience with semantic
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security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Anna Olsen . Your immediate leader will be the Head of
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, systems, and constraints explicit and machine‑interpretable, and (3) is suitable for computational reasoning and AI-based methods. In doing so, the project creates the semantic foundation that enables AI
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the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
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Knowledge of or experience with semantic modeling, knowledge representation and automated reasoning Knowledge of or experience with knowledge-based engineering and system engineering Knowledge
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combination of properties such as strength and toughness. Recently, a new type of “chaotic” spider webs—webs that exhibit unique patterns—in Nature has been discovered and its complex energy dissipation
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“chaotic” spider webs—webs that exhibit unique patterns—in Nature has been discovered and its complex energy dissipation mechanism has not been fully understood yet. This project will explore a new design
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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
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; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts