3 Years, Fixed-Term, Whole-time Post
Position Summary
Many kilometres of underground infrastructure in a large-scale network (e.g., tunnel, pipelines) may heavily encounter performance degradations during long-term service. The resultant crack image data, GPR image data, continuous strain sensor data, and historical borehole logs were used to evaluate the long-term safety and structural health. However, evaluation tasks are always implemented on the independent dataset, instead of a comprehensive combination of them. This study addressed this issue by proposing a systematic framework for integrating diverse data to construct a deep learning-based condition assessment model of underground infrastructure. The condition assessment model is dedicated to bridging underlying correlations between the information of diverse data and the condition of concrete lining, and bring insights into the long-term behaviour of large-scale underground infrastructure in different hydrogeological conditions.
Position Description:
Dr. Zili Li is the Principal Investigator, leading the proposed project. In this project, a Research Masters student will focus on data acquisition, data transformation, and feature extraction. The one-year research master student will be based at UCC and take a research trip at CERN, whilst the Postdoc will work at UCC in her/his first year and then be seconded to work at CERN in the second & third years.
Project Title: Investigation of large-scale aging underground infrastructure using data-driven deep learning
Post Duration: 36 months
Salary: €43,908 - €50,302 p.a., IUA PD1 Scale.
For an information package including further details of the post see https://ore.ucc.ie/.
Informal enquiries can be made in confidence to Dr. Zili Li, Senior Lecturer (Associate Professor) in School of Engineering and Architecture, Email: [email protected]
Applications must be submitted online via the University College Cork vacancy portal (https://ore.ucc.ie/). Queries relating to the online application process should be referred to [email protected], quoting the job-title and project name.
Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Friday, 10th May 2024.
No late applications will be accepted.
Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher education sector.
UCC is committed to creating and fully embracing an inclusive environment where diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https://www.ucc.ie/en/edi/policies/ and initiatives at https://www.ucc.ie/en/edi/implementation/ and we welcome applications from everyone, including those who are underrepresented in the protected characteristics set out in our Equal Opportunities & Diversity Policy.
UNIVERSITY COLLEGE CORK IS AN EQUAL OPPORTUNITIES EMPLOYER
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