Fully-funded PhD in Brain-machine Interfaces for UK Home Students
Fully-funded PhD in Brain-machine interfaces for UK home students, focusing on non-invasive BMIs and AI-based neural signal processing.
A unique opportunity is available for a fully-funded PhD in Brain-machine interfaces at the University of Manchester, open to UK home students. This 3.5-year project focuses on developing non-invasive BMIs that integrate AI-based neural signal processing techniques and large language models.
The ideal candidate will possess self-discipline, diligence, and passion for academic research, with a strong drive to explore and solve scientific challenges creatively. Proficiency in English and programming experience in artificial neural networks, deep learning, and natural language processing are highly desirable.
The successful candidate will receive an annual tax-free stipend set at the UKVI rate (£19,237 for 2024/25) and have their tuition fees paid. Interested applicants are encouraged to send their CV and cover letter to jingyuan.sun@manchester.ac.uk at their earliest convenience.
- Eligibility: UK home students only
- Funding: Fully funded by the Strategic Doctoral Landscape Award (sDLA) Scholarships
- Duration: 3.5 years
- Stipend: £19,237 per annum (tax-free)
Tags: PhD, Brain-machine interfaces, Non-invasive BMIs, AI, Neural signal processing, Large language models, UK home students, Fully funded, Strategic Doctoral Landscape Award