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an analytical-computational framework for a “living” 4D Digital Twin (3D + time) to enable automated progress monitoring and multi-domain safety assessment in civil engineering applications. The project focuses
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industrial applications such as automated visual product inspection and quality assessment. The Nuclear Technology (NuTec) research group involves dedicated experience and know-how on radiological mapping and
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-touch Network and Service Management (ZSM) as a key enabler for autonomous and resilient 6G. The project aims to investigate how network intelligence and automation, distributed core network designs, and
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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innovative mechanisms for resource abstraction, orchestration, and lifecycle management of services in multi-domain and multi-tenant environments, contributing to the realization of fully automated and service
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aims to investigate how network intelligence and automation, distributed core network designs, and AI-driven control loops can improve network robustness, service continuity, and fault tolerance across
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for networking or automation (preferred). You have experience with experimental platforms or research projects. You are proficient in English (written and spoken). What we offer We offer a doctoral scholarship for
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funded by a EU programme Reference Number BAP-2026-64 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project will mainly focus on automating analysis
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, containerization, or orchestration platforms (preferred). You have experience with AI/ML for networking or automation (preferred). You have experience with experimental platforms or research projects. You are
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led