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10th August 2026 Languages English English English The Department of Manufacturing and Civil Engineering has a vacancy for a Postdoctoral Fellow in Semantic Digital Twin Architectures and Ontology
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semantic heterogeneity—differences in terminology, structure, and logic—remains a central barrier to reusability, interoperability, and reproducibility. This postdoctoral position addresses a fundamental and
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including historical linguistics, semantics, pragmatics, computational linguistics, phonology, or sociolinguistics. We would like to see candidates who can communicate with and learn from both linguists and
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linguistics, semantics, syntax, pragmatics, computational linguistics, phonology, or sociolinguistics. We would like to see candidates who can communicate with and learn from both linguists and scholars in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
&PEWER_Level B_Research Fellow.Lecturer_v1.pdf Join us in pioneering goal-oriented semantic wireless communications to define the 6G and beyond era: Design and implement cutting-edge AI-driven communication
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or RioXarray is essential. You should have knowledge of semantic segmentation, time-series analysis and modern AI approaches together with a developing publication record appropriate to your career stage
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understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses on understanding high-level semantic concepts, behavioural patterns, product usage, and
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on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely
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and monitoring. Develop methods for multimodal sensing, semantic understanding, information extraction, and digital twin integration using images, written reports, related sensor data. Execute numerical
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to biocuration, semantic interoperability, ontology-aware data integration and the development of structured evidence resources Bioinformatics and mechanistic data integration Analyse and integrate high