Applicants should have (or expect) a distinction pass at Master’s level, or a first class BEng/BSc Honours degree, or equivalent, in an Engineering or Physical Sciences subject. Candidates with suitable work experience and strong capacity in experimental skills are particularly welcome to apply. Applicants must be comfortable working across disciplines and in a practical lab environment. Overseas applicants should submit IELTS results (minimum 6.5) if applicable.
Project Details Maintenance is the source of a growing problem for the operators of civil infrastructure. Manual inspections and repairs can be expensive, time-consuming and fallible. Part of the solution to this problem is improved sensing, to make structures “smarter” so that they can provide accurate, real-time and remote information on their health or damage state. Sensing alone, however, does not tackle the root causes of degradation, so there should also be strategies to repair and augment structures, ideally using cost-cutting, automated technologies.
Our team’s goal is to unify and automate these two distinct approaches to civil monitoring and maintenance. To support this goal, this PhD’s aim is to develop robotically applied sensors, repairs and smart materials to concrete and metallic structures.
This PhD provides a unique opportunity to tackle a real industry problem using exciting new technology, all while gaining multidisciplinary training in manufacturing, sensing, material science, robotics and structural health monitoring.