Handcrafted digital twin (DT) representations of assets and of their associated processes and resources are appearing in the market at an increasing rate. However, designing such DTs is an under constrained problem with millions of correct solutions; so which one is better? And how might we auto- generate and evaluate them?
This aim of this studentship is to answer these questions for the case of roads. Understanding & digitally representing road DTs includes deriving (a) local and national stakeholders' user and information requirements, and DT scoring metrics; and (b) creating a framework for automatically generating a pareto-optimal of trustworthy information models, libraries, and cloud architectures consistent with CDBB's Information Management Framework (i) at micro, meso and macro scales (material-level; asset-level; network-level) and resolutions (mm-level; cm-level; m-level); (ii) for geometry, condition, and other property groups; and (iii) for product, process, and resource information. The purpose is to enable (i) productisation; (ii) interoperability with the National DT programme; (iii) information security; (iv) futureproofing; and (v) static and dynamic information curation, possibly through distributed ledger concepts. This includes understanding and measuring information value at all scales to allow for optimal data preparation decisions.
Applicants should have relevant background in any engineering discipline, computer science, or architecture, and a track record demonstrating ability to conduct research and disseminate it.
The application deadline is 1 December 2023. The start date of the studentship is 1 October 2024.
Applications should be submitted via the University of Cambridge Applicant Portal www. graduate.study.cam.ac.uk/courses/directory/egegpdpeg, with Ioannis Brilakis identified as the potential supervisor.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
Department/LocationDepartment of Engineering, Cambridge
ReferenceNM39004
CategoryStudentships
Published18 October 2023
Closing date1 December 2023