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Project title: Distributed fibre optic sensing and deep learning-based photogrammetric analysis of ageing underground infrastructure
Application: Please e-mail a CV (max. 2 pages)and a cover letter outlining your experience and motivation to Dr. Zili Li (zili.li@ucc.ie).
Supervision team: Dr. Zili Li (UCC) and John Osborne (the European Centre for Nuclear research (CERN))
Project description:
This 4-year PhD project will conduct an innovative field monitoring and analysis of ageing tunnel infrastructure at the European Centre for Nuclear research (CERN) over tens of miles. Unlike conventional manual inspection at high cost of labour and time, two types of innovative field technologies will be developed and improved in this project: 1) Distributed Fibre Optic Sensing (DFOS) and associated fibre optic data processing code; 2) Automated defect classification software for large-scale tunnel infrastructure using an autonomous camera system. The advanced monitoring technologies will give more insights into ageing CERN tunnel behaviour both globally over tens of miles and specially at local critical deteriorating sections.Position Description: This 4-year PhD full-time position is jointly funded by Irish Centrefor Research in Applied Geosciences (iCRAG) and CERN. The successful candidatewill be registered at University College Cork, starting in September 2021 orsoon thereafter. The stipend is |