Research Assistant in Applied Machine Learning for Healthcare Innovation Department of Computer Science

Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate will need to be eligible to work in the UK or have leave to remain in the UK and associated right to work for the duration of their employment with the University, in accordance with the Immigration, Asylum and Nationality Act 2006.
Part-Time (10 hours per week), Fixed-Term (12 month contract).
Applications are invited for the post of Research Assistant in the Department of Computer Science.
This is a fixed term post for one year from August 2026 (flexible start date).
The project seeks to advance the use of wearable technologies, such as smartwatches, earphones, and other body-worn devices, for continuous and non-invasive health monitoring. Through the development of robust machine learning models, and uncertainty-aware prediction methods, the project aims to improve the early detection of movement-related symptoms, behavioural changes and other digital biomarkers associated with neurological and long-term health conditions. The post holder will contribute to research outputs and support the wider development of digital health research within the Computer Science department.
The successful candidate will

You will have a Master's degree in Digital Health, Healthcare, or a closely related discipline, with a strong interest in applying machine learning to health and wearable sensor data. Experience in machine learning, data analysis, wearable sensing, digital biomarkers, or healthcare-related research would be highly desirable.

The role offers an excellent opportunity to work on applied machine learning research with real-world health impact, contributing to the development of reliable computational methods for detecting, monitoring and helping to prevent health problems such as Parkinson's disease.
The successful candidate will join a vibrant and supportive research environment within the Department of Computer Science at Royal Holloway, University of London, and will contribute to the growing area of digital health and trustworthy AI. You will be expected to conduct both independent and collaborative research, develop and evaluate machine learning models for wearable sensor data, contribute to publications in leading academic venues, collaborate with PhD students and other members of the research team, and support the overall goals of the project in wearable sensing and uncertainty-aware healthcare AI.
In return we offer a highly competitive rewards and benefits package including:
# Generous annual leave entitlement
# Rich Training and Development programmes
# Pension Scheme with generous employer contribution
# Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing.
# Free parking
The post is based in Egham, Surrey where the University is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.