Overview
Research Associate: AI for Neurotechnology
The UKRI Turing AI Acceleration Fellowship Project and related neurotechnology research at the University of Bath, led by Professor Damien Coyle, aims to develop next-generation AI methods to translate electrophysiological signals into control signals for brain-computer interface (BCI) technologies. These advances will be trialled at scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG).
The post may involve travel within the UK and internationally, occasional extended stays off-campus, and the need to arrange and manage travel logistics and expenses. Access to personal transport may be advantageous.
As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days\' professional development pro rata per year.
We are committed to diversity, equality and inclusion, including our Silver Athena SWAN award and Safer Recruitment commitment. We encourage applications from all genders, backgrounds and communities, particularly from underrepresented groups.
We’re signatories of the Armed Forces Covenant, an accredited Disability Confident Leader and an autism-friendly university.
Closing Date: Monday, 10 November 2025
Department: Institute for Augmented Human
Salary: Starting from £38,784, rising to £46,049 (pro rata)
Contract Type: Full-time, Fixed-term
About The Role
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