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About the Project
Digital Twin (DT) is a promising technology for the new immersive digital life with a variety of applications in areas such as Industry 4.0, aviation and healthcare. Pervasive realisation of DT requires higher data rates, reliability, resilience, and lower latency beyond what is currently offered by mobile networks. Thus, DT could become a major driver for 6G research and development. Additionally, 6G network development can benefit from DT and its powerful features such as remote intelligence. Using DT, a 6G network will have the opportunity to use Machine Learning to enhance its resilience. DT’s application in telecommunications is still in its infancy. In this project we investigate the role of DT in reliability and resilience of 6G networks.
Entry requirements:
Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics or a closely related subject.
How to apply:
Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.
Funding Notes
This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website View Website for details about funding opportunities at York.
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