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Research Assistant
| Posting date: | 08 July 2025 |
|---|---|
| Salary: | £34,132 to £38,249 per year, pro rata |
| Hours: | Part time |
| Closing date: | 24 July 2025 |
| Location: | Swansea, Wales |
| Remote working: | On-site only |
| Company: | Swansea University |
| Job type: | Contract |
| Job reference: | SU00198 |
Summary
We are hiring a research assistant (50% FTE) in Experimental Design and Analyses for Adaptation of the Human Activity Recognition (HAR) models for living environments of elderly people.
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. For further information please contact Dr Sara Sharifzadeh sara.sharifzadeh@swansea.ac.uk
Equality, Diversity & Inclusion
The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.
As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.
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. For further information please contact Dr Sara Sharifzadeh sara.sharifzadeh@swansea.ac.uk
Equality, Diversity & Inclusion
The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.
As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.