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Job Number SU01098 Contract Type Fixed Term Salary £34,132 to £38,249 per annum Faculty/Directorate Faculty of Science and Engineering Location Bay Campus, Swansea Closing Date 24 Jul 2025 Interview Date 29 Jul 2025 Informal Enquiries
* Dr Sara Sharifzadeh Sara.sharifzadeh@swansea.ac.uk
* Dr Joe Macinnes william.macinnes@swansea.ac.uk
About The University
Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.
Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.
About The Role
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.
Welsh Language Skills
The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course.
The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.
Additional Information
Applications for this role will take the format of a CV submission and cover letter.
Apply Now
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