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with a strong emphasis on high impact research and societal relevance. This position will be supervised by Professor Qi Zhang, whose research focuses on Edge Intelligence, Goal-oriented Semantic
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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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experience and competencies expected include at least one of the following areas: Data modelling, ontology development, and semantic technologies. Open data standards and linked data, e.g. buildingSMART and
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semantics e.g. for Earth Observation and Internet of Things, Telecom GPT, Open RAN/AI-RAN integration Infrastructure: MFSS - Multi-functional structures. ISAC - Integrated sensing and communications
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; another one to automatically select models for image classification tasks, object detection and semantic segmentation; a pre-processing model that automates the necessary steps to match the images with
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Learning, quantum computing, QKD - quantum key distribution, entanglement distribution System-level design and optimization AI & Intelligence: Agentic AI, Edge AI, information semantics, e.g. for earth
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, Computer science, Ontology engineering, Computational geoscience, AI and NLP, or a related field; a strong interest in conceptual modelling, semantic modelling, ontology engineering, formal logics or cognitive
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water utility data into a consistent, documented target model (schemas +semantics). 2. KAG-based assistance: develop KAG components that support (semi-)automatic harmonisation tasks such as field mapping
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or political discourse) Linguistic landscape research (with a specific focus on minoritised languages) …and any applications of semantic, corpus or sociolinguistic theory Why University of Glasgow
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a pipeline to map multi-source water utility data into a consistent, documented target model (schemas +semantics). 2. KAG-based assistance: develop KAG components that support (semi-)automatic