Research Associate AI for Neurotechnology

About the role

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).

Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for the Augmented Human, the Research Associate will:-

• Design and implement novel AI models and algorithms
• Contribute to the planning and execution of research experiments with human participants
• Manage and analyse large, complex datasets
• Develop software and prototype real-time AI solutions
• Publish results in high-impact journals and conferences
• Collaborate with AI researchers, engineers, neuroscientists, psychologists, trials managers, and neuroimaging experts across multiple projects

By advancing novel AI approaches and demonstrating them in large-scale trials, this project has the potential to transform the future of neurotechnology — enabling more reliable BCIs, accelerating clinical translation for rehabilitation, and contributing to the broader vision of safe and effective human augmentation.

About you

We are looking for a motivated researcher who can get projects off the ground quickly and make a meaningful contribution within a 4-month fixed-term post. You will bring strong technical expertise and a collaborative approach to help deliver high-quality research outputs in a short timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work.

• AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow
• Developing and testing novel or customised AI models for complex, noisy, real-world datasets
• Software optimisation for high-performance computing on CPU and GPU clusters
• VR/AR or game development for applications including BCI

Further information

For an informal discussion relating to the role, please contact Prof Damien Coyle, dhc30@bath.ac.uk or Dr Yue Zhang yz4604@bath.ac.uk

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 consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.

We're very proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader; autism friendly university, committed to building disability confidence and supporting disabled staff.

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