|Salary:||£35,845 to £40,322|
|Placed On:||4th May 2021|
|Closes:||25th May 2021|
We are looking for post-doctoral researchers with skills in machine learning, signal analysis and sensor systems, and human-computer interaction. The QUEST project (healthcare-quest.com) will track human behaviour in a home environment with a mix of radar, radio-frequency (e.g. wifi) and quantum-inspired optical signals. The project goal is to bring ‘precision healthcare’ to the home, with the novel multi-modal sensing technology able to bring information from blood flow, heart beat variations and general behavioural signals. This position will use machine learning techniques to fuse sensor streams to infer peoples’ physical and mental states. This will involve understanding their behaviour, how they move in the space and how they interact with services such as smart speakers, music and video services (experience with recommender systems will help here). We will also be looking at the closed-loop effects of how any given medical or behavioural interventions interact with the observed behaviour. The project brings together Computing Science with leading edge Physics, Engineering, Statistics, Neuroimaging and Medical researchers and will be a fantastic opportunity to develop interdisciplinary skills in human-focussed application of advanced sensing and inference systems, with an emphasis on interpretability and causality in longitudinal studies of closed-loop interventions. The project also has a number of industrial and medical partners and the post-doctoral researcher will be responsible for collaboration with the relevant partners.
Salary will be on the University's Research and Teaching Grade, level 7, £35,845 - £40,322 per annum.
The post is full time with funding up to 3 years in the first instance.
For more information and to apply online: Click below.
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