Research Associate Ai For Neurotechnology (Fixed-Term)

About the role The UKRI Turing AI Acceleration Fellowship Project led by Prof Damien Coyle at Bath 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 is seeking to appoint a Research Associate with understanding of neural signal processing and a passion for AI/machine learning to assist in advancing approaches to analysis, classification and decoding of high-resolution electroencephalography (EEG), to help advance neurotechnology for clinical applications. Prof Coyle and the Turing Fellowship research team are associated with the Bath Institute for the Augmented Human.  This is a full-time, fixed-term role, expected to be 36 months in length.  About you You will have a PhD (or equivalent experience and an undergraduate degree in a neurotechnology or related AI research, and be able to demonstrate depth and breadth of specialist knowledge of technologies including deep-learning using platforms such as Keras, Pytorch or Tensor Flow, experience of optimising the performance of software for high performance computing on CPU and GPU clusters, and/or experience in VR/AR/games development for applications such as brain-computer interfacing).  You should have experience of designing and delivering on research projects, and the ambition to publish in high quality, peer-reviewed journals.  You will be passionate about the future of technology and about being part of an institute that is targeting real world impact.  This role will suit you if you:  Enjoy working in a collaborative, supportive and highly multidisciplinary environment; Are proficient in developing leading AI solutions including deep learning to address some of the major challenges associated with translating neural signal into control and communication channels in real time to create robust wearable neurotechnology.   Are proficient in research using deep learning platforms and exploiting high performance computing.  About the Turing AI Fellowship Project Professor Coyle aims to develop AI technology that will play a crucial role in new forms of wearable neurotechnologies, devices which measure signals from the brain and enable their wearer to interact with technology without movement.  Enabling movement-independent communication through this brain-computer interface could help those who are unable to communicate following a serious injury or illness.  Wearable neurotechnologies and brain-computer interfaces have other applications in ambulatory brain monitoring, medical and neuroscience research, recreation, gaming (neurogaming) and sport, among others. About the IAH The IAH is the University’s newest research Institute and was established in 2023 as an innovative and agile leader in Human Augmentation R&D in the UK and Internationally.  Our vision is a complete multidisciplinary training and innovation ecosystem that revolutionises the way that humans interface, interact, improve, and evolve with technology.  The Institute is a unique body of interdisciplinary research focusing on research excellence and developing researchers that have the skills to develop, trial, regulate & deploy human augmentation technologies.  We’re setting ourselves an ambitious programme involving 60+ academics from an excellent mix of disciplines, from robotics, engineering & computer science to health, neuroscience, & psychology.  Together, we’re establishing a world-leading research Institute, and we want you to be a part of it. Additional info Informal enquiries about the post may be made to:  Prof Damien Coyle, Prof of Neurotechnology and Director of the IAH, at dhc30@bath.ac.uk Please ensure you submit your application through our website, and please upload an up-to-date CV.