Available
Project number:
2025_42
Start date:
October 2025
Project themes:
Main supervisor:
Dr, Professor in Basic and Clinical Neuroscience
Co-supervisor:
Additional Information:
Data-driven Neurorehabilitation
Background: Neurological injury like traumatic brain injury, spinal cord injury and strokes carry substantial long-term disability with significant impact on quality of life. Conventional rehabilitation schemes use therapy-led rehabilitation and functional assessment scales; newer digital and robotic rehabilitation technologies are now available with variable adoption in the healthcare systems. There is currently limited ability to prognosticate or track outcomes except through manual therapist evaluations, and limited ability to use data and technology to inform rehabilitation, prognosis on outcomes, support return to independence and even digital self-rehabilitation.
Novelty & Importance: This project is part of a long-term partnership between Kings College London and a major international private London hospital. It offers opportunity to leverage access to real-world neurorehabilitation technologies, including robotics, exoskeletons and gamified digital rehabilitation systems1,2 for cutting-edge clinical research in state-of-the-art private healthcare facilities.
Aims & Objectives: Use data from therapy assessments and technology-enabled rehabilitation for prognostication of outcomes and personalised rehabilitation
Clinicians only: Applicant must be a post-MRCP doctor and able to work part-time as a registrar-level at a major international private London hospital for 20 hours per week. Individuals must have good communication skills for handling complex medical situations in an international healthcare setting.
References:
Baronchelli F, Zucchella C, Serrao M, Intiso D, Bartolo M. The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis. Front Neurol. 2021 Jul 6;12:661815.
Kuo, CY., Liu, CW., Lai, CH. et al. Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders. J NeuroEngineering Rehabil 18, 174 (2021).
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at