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Project detail:
Built on the initial work of ‘Applying AI to building blueprints for insurance risk assessment (AURIE)’, this project aims to develop an ontology digital twinning approach to construct the domain knowledge graph for improved underwriting capability.
It will (1) develop an ontological knowledge framework for tracking and managing of risks based on the real-time and historical data; (2) explore the practicalities, including prototyping the ontological digital twins, for implementing this framework using the blueprint and other information for commercial and industrial properties available to WTW and WTW clients; and (3) develop arrangements for automatic query the knowledge based for underwriting. Its ultimate ambition is to transform property insurance risk analysis and underwriting from present arrangements employing extensive manual processing into an automatic and reliable process using ontology digital twins.
This PhD project will be one of six PhD projects being pursued in a cross-disciplinary mini-College of Doctoral Training (mini-CDT) running at Loughborough University from 2022 to 2026. This mini-CDT is part financed and supported by the WTW Research Network, the award winning collaboration between academia, finance and research industries on the understanding and quantification of risk.
This industry collaboration builds on the earlier partnership between Loughborough University and WTW in the recently completed TECHNGI research project on technology and next generation insurance services. For full description of the mini-CDT, of the individual PhD projects and of the support provided by the WTW Research Network to the mini-CDT see here.
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Find out more
Entry requirements:
Applicants should have, or expect to achieve, an MSc (or equivalent international qualification) in a relevant subject.
English language requirements:
Applicants must meet the minimum English language requirements.
Funding information:
The studentship is for 3 years and provides a tax-free stipend of £15,609 per annum for the duration of the studentship plus tuition fees at either the UK or international rate. Note that the availability of this studentship is subject to a signed contract with the industrial sponsor.
Primary supervisor: Dr Long Chen
Secondary supervisors: Dr Mingzhu Wang, Dr Russell Lock
Start date: July 2022
How to apply: All applications should be made online. Under programme name, please select ‘Architecture, Building and Civil Engineering’. Please quote reference ABCE-AM-CDT.
Email address (ABCE): civ.eng.pgr@lboro.ac.uk
The studentship is for 3 years and provides a tax-free stipend of £15,609 per annum for the duration of the studentship plus tuition fees at either the UK or international rate. Note that the availability of this studentship is subject to a signed contract with the industrial sponsor.
