Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students |
Funding amount: | £20,780 - please see advert |
Hours: | Full Time |
Placed On: | 2nd September 2025 |
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Closes: | 30th September 2025 |
This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is January 2026.
We recommend that you apply early as the advert will be removed once the position has been filled.
This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans theory to lightweight on-hardware prototypes, with publications targeted at leading IEEE venues in communications and signal processing, and relevant AI venues.
Indicative directions (choose one or combine):
To apply, please contact the main supervisor, Dr. Kaitao Meng - kaitao.meng@manchester.ac.uk. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
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