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15th April 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Semantic web for autonomous and adaptable urban
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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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candidate will be requested to formally apply for enrolment as a PhD student at NIH. Employment as a PhD fellow will be conditional on successful enrolment in the PhD program. Job description Your main tasks
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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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of the candidate and will provide guidance and training both within the core team and through formalized co-supervision from international collaborators. The candidate will be given the opportunity to conduct
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Python, MATLAB, or Julia for control applications, and knowledge of standard optimization tools. Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new
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mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the