Research Assistant

Contract Type: Fixed Term – 7 months; 50% FTE – 17.5 hours Location: Bay Campus, Swansea The increasing number of older populations, requires community-based care supported by monitoring of human activity patterns to meet individual needs, free up hospital beds and save costs. AI-based non-intrusive non-wearable health monitoring systems can be used as a promising solution to tackle some of the challenges in this case, assisting the older adults to prolong their independent live and the care providers supporting the aged populations in care homes. The main aim of this project is to adapt our previously trained Human Activity Recognition (HAR) models by collecting data based on the characteristics of their living environment and activities to identify the extreme and irregular conditions and explore the pathway to impact for HAR systems. If you are interested to work on a cutting-edge research topic in AI domain applied on data collected from non-intrusive digital sensors such as mm-wave doppler radar, acoustic and IR sensors, please consider this research position. This exciting opportunity is focused on the area of AI and machine learning and their application on Human Activity Recognition (HAR), mainly for health monitoring of aged population. The overall project is funded by the Impact Accelerator Award and the researcher will join an AI team of researchers at the Computer Science Department, Swansea University. The project will be conducted in collaboration with the Centre for Ageing and Dementia Research (CADR). This research role requires the essential criteria and preferably some of the desired criteria listed in job description. Interview Date: 21 Feb 2024 Informal Enquiries Dr Sara Sharifzadeh Sara.sharifzadeh@swansea.ac.uk Dr Joe Macinnes william.macinnes@swansea.ac.uk