Research Assistant - School of Engineering & Architecture

8 Months Fixed-Term, Whole-Time Post The long-term service performance and safety of large-scale ageing tunnels are increasingly challenged by evolving climate change. Many in-service tunnels, including those at CERN, were designed based on static geological and groundwater assumptions derived from limited site investigation data and simplified design method. After decades of operation, changes in ageing infrastructure can lead to increasing risks such as water ingress, elevated external loading, durability degradation, and service disruption. This project investigates an AI-empowered digital twin framework for in-service tunnel evaluation, especially focusing on ageing CERN tunnel infrastructure. Expected outputs include a version-controlled digital twin, ageing tunnel models, decision-support tools, and peer-reviewed publications. The project will deliver a transferable solution to enhance the resilience and sustainability of ageing underground infrastructure under evolving climate conditions. Dr. Zili Li is the Principal Investigator, leading the proposed project. In this project, a research assistant will focus on field data collection and data processing. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project - Investigation of large-scale aging un...

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