Research Associate/Senior Research Associate in Machine Learning for Healthcare

The role

The University of Bristol is seeking an exceptional candidate to take up a research position on the PD-SENSORS project, with funding until the end of January 2023, working on state-of-the-art machine learning for understanding the behaviour, and changes thereof, of Parkinson's patients using data from a multi-sensor smart home platform.

The primary purpose of this position will be to advance the understanding of the progression of Parkinson's disease via the use of machine learning to identify the fluctuations in the disease from the behaviour of the patient. To collect this data, we use capabilities built by the SPHERE project (a Sensor Platform for HEalthcare in a Residential Environment), funded by EPSRC, which has been developing a unique integrated platform of sensors to deploy in people's homes to monitor their health and wellbeing during everyday life (irc-sphere.ac.uk).

This project aims to apply, and build on, existing machine learning methods for behavioural modelling using multiple sensor modalities, including RGB-D cameras, wearable accelerometers and appliance monitors. We are interested in detecting changes and variations in human behaviour over both short and longer periods of time, within the context of Parkinson's, using these modalities. We envisage that the usage of the multiple available data modalities will help build a better model of behaviour and lead to better insights into the disease progression. Behaviours we are interested range from sleep and localisation to Activities of Daily Living (ADL).

What will you be doing

The main research area for this post will involve multimodal time series analysis with state-of-the-art machine learning techniques such as multimodal deep learning, using data collected from both Parkinson's patients and control subjects within the SPHERE house, in order to further our understanding of the progression of Parkinson's disease.

You should apply if

The successful application should have a strong background in Machine Learning, Data Mining or similar, to a PhD level or beyond. Experience of working in multi-disciplinary projects, particularly within healthcare, would be advantageous. The successful applicant will possess strong written and oral communication skills and will be expected to present results at international conferences and publish findings in international journals.

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.