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Automated Creation of Digital Twins using Artificial Intelligence


   Centre for Digital Innovation

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  Dr M Pandit, Dr F Rahimian  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

A Digital Twin is a dynamic replica of a physical object/environment in a digital virtual world. It provides a means of predictive maintenance, interactive monitoring, risk assessment, process planning and optimisation in terms of efficiency and cost. There is an exponentially growing need for Digital Twins in Industry 4.0 because of its various benefits.

Creating Digital Twins is a labour-intensive process which involves replicating the visual representation of the physical objects using a range of 3D development and texturing software and modelling its functional behaviours. This PhD involves multidisciplinary research applying various computing techniques to reinforce this by automating the Digital Twin creation process. The primary objectives of the project are listed below:

  • Combine various computer vision and image processing techniques to auto-generate 3D models of physical objects.
  • Optimise the generated models in terms of physical properties.
  • Provide a way to support data driven, real-time visualisation within widely used game engines such as Unreal Engine 4.

The project will combine all the objectives to develop a smart Digital Twin creation platform using a game engine and a myriad of digital technologies which would help develop further multi-disciplinary research and industrial collaboration supporting Industry 4.0.

Entry Requirements

Applicants should hold or expect to obtain a good honours degree (2:1 or above) in a relevant discipline. A masters level qualification in a relevant discipline is desirable, but not essential, as well as a demonstrable understanding of the research area. Further details of the expected background may appear in the specific project details. International students will be subject to the standard entry criteria relating to English language ability, ATAS clearance and, when relevant, UK visa requirements and procedures.

How to Apply

Applicants should apply online for this opportunity at: https://e-vision.tees.ac.uk/si_prod/userdocs/web/apply.html?CourseID=1191

Please use the Online Application (Funded PHD) application form. When asked to specify funding select “other” and enter ‘RDS’ and the title of the PhD project that you are applying for. You should ensure that you clearly indicate that you are applying for a Funded Studentship and the title of the topic or project on the proposal that you will need to upload when applying. If you would like to apply for more than one project, you will need to complete a further application form and specify the relevant title for each application to a topic or project.

Applications for studentships that do not clearly indicate that the application is for a Funded Studentship and state the title of the project applied for on the proposal may mean that your application may not be considered for the appropriate funding.

For academic enquiries, please contact Dr Diptangshu Pandit [Email Address Removed].

For administrative enquiries before or when making your application, contact [Email Address Removed].  


Funding Notes

The Fees-Paid PhD studentship will cover all tuition fees for the period of a full-time PhD Registration of up to four years. Successful applicants who are eligible will be able to access the UK Doctoral Loan scheme https://www.gov.uk/doctoral-loan to support with living costs. The Fully Funded PhD Studentship covers tuition fees for the period of a full-time PhD Registration of up to four years and provide an annual tax-free stipend of £15,000 for three years, subject to satisfactory progress. Applicants who are employed and their employer is interested in funding a PhD, can apply for a Collaborative Studentship
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