About the Project
This PhD project will research into new autonomous-communication techniques whose designs are inspired by compressed sensing and deep learning principles. The main objective of this project is to develop new opportunities for applying machine (deep) learning algorithms to compressed sensing hyper-dimensional communication mechanisms, and the developed opportunities will unleash the potential of the today’s hyper-dimensional modulation and network coding techniques towards next generation autonomous mobility systems which will often run in uncontrolled environment with presence of growing uncertainties. The results will be exploited to provide significant advance that can radically transform the ‘static’ nature of today’s multi-dimensional modulation and networking paradigms. The project will challenge how today’s multi-dimensional system designs are autonomously adapted in deployed environments by mimicking human ability to effectively learn, fine-tune and adapt skills at runtime, which can also be feasible.
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, Music Technology 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.
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