From sensors to artificial intelligence: creating dementia-friendly ‘Healthy Homes’ as intelligent environments that transform and personalise care.
This interdisciplinary and innovative centre catalyses the development of the necessary technology and data science. They will optimise these technologies in a model home environment, deploy them in real-world evaluation studies and then, having established an evidence base, deliver them to people with dementia and their carers. The centre will:
The UK DRI is looking for a Postdoctoral Research Fellow to work for our Care Research & Technology centre at Imperial. The role is based in the Surrey Sleep Research Centre under the supervision of Prof Derk-Jan Dijk. This is an exciting opportunity to become part of a comprehensive research programme into the development and validation of methods to assess and alter circadian rhythmicity with an emphasis on sleep and circadian disturbances in dementia. The successful candidate will work across a variety of tasks and research methods to develop and evaluate models, wearable technology and machine learning algorithms for circadian rhythms and sleep monitoring in humans. We are therefore looking for a highly motivated individual who holds a doctoral degree in a relevant discipline. Ref: 051519-R, Closing date: 20 OctoberApply to centre
We are seeking two full-time Postdoctoral Research Fellow in machine learning for healthcare applications. The successful applicants will join the Machine Learning for Healthcare Research Lab at the Centre for Vision, Speech and Signal Processing (CVSSP). The Care Research & Technology Centre at Imperial aims to develop next-generation AI and healthcare technologies to support people affected by dementia. You will be responsible for research into machine learning, time-series data analysis and probabilistic models, with a particular focus on adaptive learning as well as developing solutions for processing Internet of Things and sensory data. You will also be involved in system integration, verification and validation and will work with the software development and clinical teams within the centre. The role will focus on developing novel AI and machine learning solutions as well as creating robust, reliable solutions to support real-world applications. The role will suit a highly motivated candidate who is interested in addressing real-world challenges and creating end-to-end solutions. You should have a relevant PhD/DPhil (or be near completion), as well as holding a first degree in engineering, physics, computer science, mathematics, statistics or similar. Experience in software development and programming, as well as in practical applications of adaptive algorithms in working with uncertain data will be highly desirable. Ref: 075719, Closing date: 27 OctoberApply to centre