| 查看: 595 | 回复: 0 | |||
[交流]
2025年海外博士生招聘广告 人工智能岩土
|
|
Project title: Large Language Model and AI for ground-tunnel interaction and infrastructure maintenance CERN-UCC 2025年博士生招聘广告：土木/计算机/数字/岩土工程 在 UCC & CERN 项目名称:大语言模型与人工智能在隧道基础设施维护中的应用 导师团队: Dr. Zili Li (UCC) 和 CERN (欧洲强子对撞机研究中心) Supervision team: Dr. Zili Li (UCC, Ireland) and CERN (the European Centre for Nuclear research, Geneva, Switzerland) Project description: Large-scale underground infrastructure, such as tunnels and pipelines, often experiences significant performance degradation over long-term service. To assess structural health and long-term safety, various data sources—including crack images, ground-penetrating radar (GPR) images, continuous strain sensor data, and historical borehole logs—are utilized. However, evaluations are typically conducted on individual datasets rather than through a comprehensive integration of multiple data sources. This study addresses this limitation by proposing a systematic framework that integrates diverse data to develop a Large Language Model and AI for underground infrastructure. The model aims to establish underlying correlations between different data sources and the condition of concrete linings, offering valuable insights into the long-term behavior of large-scale underground structures under varying hydrogeological conditions. Candidate Experience: The PhD candidate should hold at least a 2.1 honours Bachelor’s degree in Civil Engineering, Computer Science, or an equivalent qualification from an overseas institution. Currently, a 50% PhD scholarship is available, with potential for additional funding contingent upon satisfactory academic progress. Candidates whose first language is not English must provide proof of English language proficiency (e.g., IELTS or TOEFL). Prior experience in structural health monitoring and machine learning is advantageous. Application: • PhD student applicant 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 or zili.li@mit.edu). Relevant paper for your reference: Image‐based large language model approach to road pavement monitoring S Xu, K Zhao, J Loney, Z Li, A Visentin - Computer‐Aided Civil and Infrastructure Engineering, September 2025, https://doi.org/10.1111/mice.70075 |
回复此楼» 猜你喜欢
面上可以超过30页吧？
已经有13人回复
-
网上报道青年教师午睡中猝死、熬夜猝死的越来越多，主要哪些原因引起的？
已经有10人回复
-
为什么中国大学工科教授们水了那么多所谓的顶会顶刊，但还是做不出宇树机器人？
已经有13人回复
-
什么是人一生最重要的？
已经有8人回复
-
版面费该交吗
已经有17人回复
-
体制内长辈说体制内绝大部分一辈子在底层，如同你们一样大部分普通教师忙且收入低
已经有19人回复
-
【博士招生】太原理工大学2026化工博士
已经有8人回复
-
280求调剂
已经有4人回复