Job Description

Role: Research Associate – Artificial Intelligence for Neurotechnology                               

Reports to: Prof Damien Coyle   

Responsible to: Prof Damien Coyle      

Job Purpose

The UKRI Turing AI Acceleration Fellowship Project aims to develop new AI approaches to address challenges associated with translating electrophysiological signals into control signals for brain-computer interface (BCI) based neurotechnology and to trial these developments on a large scale with end-users.

This project offers an exciting opportunity for a researcher with experience in neural signal processing and AI/machine learning for analysis and classification of high-resolution electroencephalography (EEG).

Working alongside Prof Damien Coyle and the team associated with the Turing AI Fellowship at the Intelligent Systems Research Centre (ISRC), the Research Associate will develop leading AI solutions including deep learning and capsule network technologies, attention and transformer based algorithms, reinforcement learning and multi-objective coevolutionary optimisation approaches to address some of the major challenges associated with wearable neurotechnology.

The post-holder will contribute to planning of research experiments involving human participants, managing and analysing data, developing software and technologies for experiments and prototyping real-time AI solutions, and will be expected to publish the results of the research in high impact journal publications. The post-holder will work with AI experts, engineers, neuroscientists, psychologists, trials managers and neuroimaging experts and will contribute to translating AI approaches across various industry sectors to address industry-led data analytics challenges.  

Main Duties

• Performing excellent AI research, in collaboration with other staff and PhD researchers, to address key neurotechnology challenges, to a standard worthy of publication in top-rated international research journals in the field.
• Developing a sophisticated signal processing framework, algorithms and software for offline analysis of high-resolution EEG and for accurate online, real-time feedback of brain activity using a brain-computer interface (BCI).
• Reviewing and summarising the literature on associated AI and AI for Neurotechnology.
• Developing a rationale for experimental design and associated research protocol to be presented to an ethics review board.
• Contributing to software development and scene rendering applications, which can display stimuli, simulate real environments, possibly using a games development engine, to produce virtual environments for experimentation.
• Assisting with the organisation and management of technology trials with human participants involving EEG data collection, analysis and online feedback.
• Contributing strongly to achieving the targeted deliverables of the UKRI Turing Acceleration Fellowship project.
• Assisting in the preparation of research proposals to secure an income stream to sustain the research area.
• Assisting in the commercialization of research outputs as appropriate for the development of spin-outs, licensing and patents.
• Translating AI approaches across various industry sectors to address industry-led data analytics challenges.
• Assisting in the strategic development and promotion of the Intelligent Systems Research Centre on a national and international basis.
• Adopting a positive and collaborative team approach to his/her duties within the Centre and being prepared to contribute to other research activities as required including working on cross-sectoral industry led data analytics challenges.
• Being prepared to travel in connection with the needs of the project and being prepared to spend periods of time working at the premises of collaborating partners.
• Performing any other research duties, as assigned by Prof Damien Coyle, appropriate to level of appointment and nature of the post.

All staff in the University have a responsibility to comply with the University’s Equal Opportunities Policy and Health and Safety Policy. Line Managers have particular responsibility for ensuring compliance with these Policies within their own area.

Please click here to apply.