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in the Cloud–Edge Continuum Non-Invasive and Semantic-based IoT stream processing framework with Agentic AI for Next-Generation Trustworthy Wearable and Ambient Systems Trust and Generative AI in Agile
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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or February 2026) Supervisor: Prof. Robert Sitnik, Dr. Vibekananda Dutta (co-supervisor) Project Overview: action This project explores semantic reasoning capabilities for intelligent robotic task execution by
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toward generative and multimodal AI methods that connect simulation, perception, and control within large-scale digital twins of urban traffic systems in Munich. The focus lies on advancing semantic
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cookie and refresh page to watch video, or click here to open video) About the position PhD project: Intra-body Semantic Communication Theory and Principles for Receiver Design This PhD project aims
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position PhD project: Intra-body Semantic Communication
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literature Design and test tools to identify and link key entities (e.g. species names, people, places), including disambiguation and semantic enrichment tailored to biodiversity and entomological contexts
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use, inter alia, physiological measures such as fEMG. Combined with theoretical discourse analysis (as used in the fields of semantics, pragmatics, philosophy of language, conversational analysis and
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-RAN Alliance). - Familiarity with A2A (Agent-to-Agent) and MCP (Model Context Protocol) protocols. - Familiarity with knowledge handling (e.g., memory management, semantic caching, contextual awareness