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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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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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, programming language theory or semantics, logic, automata theory, automated theorem proving, and quantum computing. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7
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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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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: The selected candidate will join the ERC Starting Grant project “CUE GO – Contextual Radio Cues