|Salary:||£28,929 to £35,308|
|Placed On:||21st March 2023|
|Closes:||16th April 2023|
The postholder will join a multi-disciplinary project team to develop and evaluate rehabilitation technologies. The successful candidate is expected to have experience of developing and evaluating machine learning methods, experience in Python programming language with machine learning APIs would be an advantage, knowledge of software development is desirable. The candidate is expected to have good oral and written communication skills, including the ability to work in a multi-disciplinary environment. Experience with deep learning methods, statistical modelling are highly desirable skills for this role. Track record of high-quality publications would be an advantage. The project “Technology Supported Rehabilitation Impact Evaluation Study” led by Professor Monekosso aims to evaluate existing! capabili ty and augment the functional capability and usability of a system designed to support rehabilitation for stroke survivors. The project builds on the outcome of a precursor project in which a prototype system was developed. The work will be conducted in collaboration with clinicians.
The successful applicant will be expected to contribute to development and evaluation.
This post is fixed term for up to 24 months; funding is available for this role for a fixed term only.
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