Mark Colley
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Fully Funded PhD in HCI, AI and Assistive Robotics for Brain-Controlled Wheelchairs University College London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded for four years, including tuition fees, a stipend and research training support.
Deadline
Jan 8, 2027
Country
United Kingdom
University
University College London
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About this position
University College London is inviting applications for a fully funded PhD project titled CO-PYLT: Collaborative Prediction of Your Long-Term Mobility Intentions for a Brain-Controlled Wheelchair.
The research will investigate how a wheelchair can anticipate where its user wants to go by combining commands from an EEG-based brain–computer interface with information about the surrounding environment and the user’s previous journeys. The project addresses the challenge of making assistive mobility systems intelligent while ensuring that users retain meaningful control over their movement.
A central human-computer interaction question is how the wheelchair should communicate its predicted destination so that the user can easily confirm or reject the prediction. The PhD researcher will therefore explore interaction design for intelligent assistance, with a focus on clear communication, user control and accessible mobility experiences.
The student will work across UCL Aspire Create and the UCL Interaction Centre, combining artificial intelligence, assistive robotics, brain-computer interfaces and human-centred design. The research environment includes studies with wheelchair users and interdisciplinary work spanning robotics, programming, machine learning, EEG-based interaction and accessibility.
The project is supervised by Mark Colley and Tom Carlson and is intended for a researcher interested in developing practical technologies that support people with disabilities.
Funding details
Fully funded for four years, including tuition fees, a stipend and research training support.
What's required
Applicants should have a background in computer science, engineering, robotics or a related field, together with programming experience in Python or C++. Experience with machine learning, ROS or EEG would be helpful. Motivation to conduct research with people with disabilities is essential. Applicants must have Home fee status.
How to apply
Apply through the UCL application process using the details link and select project 2531cs1085. Submit the application and both references by 12:00 noon UK time on 8 January 2027; UCL strongly encourages submission by 16 December 2026.
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Professors
Associate Professor
United Kingdom
Research Interests
Artificial Intelligence
Human-computer Interaction
User Experience Design
Computer Science
Information Technology
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Review drafts and confirm requirements with the university.