About the job: This is an excellent opportunity for a Postdoctoral Researcher to join for up to 13-months on a UKRI-funded project on Population Based Structural Health Monitoring. The post is part of the ROSEHIPS project with the universities of Sheffield, Cambridge, Exeter and a number of companies and government departments. The successful candidate will be working as part of a dynamic institutional project team in QUB consisting of; two postdoctoral researchers, two PhD students and the academic investigators. Moreover, the successful applicants will have the opportunity to visit, and work with the internationally leading research teams in Cambridge, Sheffield and Exeter. The overall aim is to exploit the game-changing concept of population-based structural health monitoring where information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new standards for safer, greener structures in the future. The postdoctoral researcher will be based in the Schools of Natural and Built Environment (NBE) and Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University Belfast. They will undertake research into creating and shaping the information and knowledge delivery systems that will enable the condition-based health management of critical infrastructure. In particular, the successful candidates will develop new sensor systems, customised for monitoring a network of civil infrastructure, specifically, bridges. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria; Hold or be about to obtain a relevant PhD Have substantial recent relevant research experience to include: research into approaches and practical implementation of embedded sensors for performing structural monitoring ideally, but in some practical application. Proven track record of undertaking analyses, critical evaluation and interpretations of data as relevant to the research project. Working effectively as part of a research team in the development and promotion of the research theme. Strong publication record commensurate with stage of career. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.