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  Semantic random-access technology for future wireless ecosystems

   School of Physics, Engineering and Technology

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  Dr Y Ko  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This PhD project will research into new technical innovations that can embrace today’s machine learning advances into a process of designing and managing wireless communications for emergent AI agents, where they will mimic human ability to effectively learn, fine-tune and adapt skills of conveying semantic information. 

This will investigate opportunities of developing online learning and semantic extraction techniques. The main objective of this project is to utilize the developed opportunities in updating continuous machine learning algorithms and semantic knowledge bases across distributed AI agents, and the semantic knowledge bases will be harmonised for the AI agents to effectively communicate to each other in uncontrolled environment in a fully distributed fashion. 

This project will challenge how autonomous nodes (e.g., flying nodes, underwater nodes, terrestrial or satellite nodes) could be networked to better help each other precisely exchange the meaningful information towards the future autonomy.

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 Please read the application guidance first so that you understand the various steps in the application process.

Engineering (12)

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 for details about funding opportunities at York.

Where will I study?

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