Shape the future of brain-computer interfaces as a Research Associate at Imperial College London. Lead cutting-edge AI development for next-generation adaptive BCIs, integrating EEG foundation models and advanced technologies. Your work will push the boundaries of neurotechnology, contributing to ground breaking advancements in human-computer interaction.
As a Research Associate in Advanced AI Architectures for Adaptive Brain-Computer Interfaces, you will:
Architect comprehensive AI systems integrating EEG foundation models and adaptive interface technologies Lead the design of advanced machine learning pipelines for robust cognitive state estimation Develop novel algorithms for continuous BCI optimization Spearhead research into explainable AI for BCI systems Design experimental protocols for real-world EEG data collection Manage collaborations with industry partners and supervise a research team
Your work will directly impact the field of neurotechnology, paving the way for more intuitive and powerful brain-computer interfaces.
PhD in Computer Science, Neuroinformatics, Electrical Engineering, or related fieldStrong publication record in top AI and neurotechnology conferences/journalsExpertise in machine learning, signal processing, and brain-computer interfacesProficiency in deep learning frameworks (., PyTorch, TensorFlow)Creative problem-solving skills and ability to work independentlyExperience collaborating with industry partners and diverse research teams
We're seeking candidates who are passionate about pushing the boundaries of BCI technology and can thrive in a fast-paced, collaborative research environment.
Please see job description for a full list of requirements.
Candidates close to completion of their PhD will also be considered but will be initially appointed as a Research Assistant within the salary range £43,003 - £46,297 per annum.
This role is supported by AI Futures Grants, a UK Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK. AI Futures Grants provide financial support to reimburse relocation costs such as visa fees, the immigration health surcharge and travel/subsistence expenses. Successful candidates for this role may be able to get up to £10,000 to meet relocations costs, subject to terms and conditions.
Opportunity to work at the forefront of BCI technology in a world-leading institution Collaboration with top researchers and industry partners in neurotechnology Access to state-of-the-art facilities and resources Professional development and career advancement opportunities Excellent benefits package, including 38 days annual leave Sector-leading salary and remuneration package (including 38 days off a year)
