WHAT WE ARE LOOKING FOR

• PhD in Computer Science, Neuroinformatics, Electrical Engineering, or related field
• Strong publication record in top AI and neurotechnology conferences/journals
• Expertise in machine learning, signal processing, and brain-computer interfaces
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Creative problem-solving skills and ability to work independently
• Experience 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.

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.

• Download: Research Associate In Advanced AI Architectures For Adaptive Brain-Computer Interfaces JD.Pdf

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

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.

WHAT YOU WOULD BE DOING

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.