This project is funded by:
This PhD work is in close collaboration with Healthy Habits Technology (About us (healthyhabitstechnology.net)) who are capturing and analysing data from 100,000 pupils across the UK. Healthy Habits Technology aim to understand the factors that influence the health and wellbeing of young people, such as physical activity, nutrition, sleep, stress, and social interactions. Healthy Habits Technology also provide personalised feedback and interventions to the pupils and their schools to improve their health and wellbeing outcomes.
The PhD researcher will contribute to the design, implementation, and evaluation of the data collection and analysis methods, as well as the feedback and intervention strategies. The researcher will use advanced statistical and machine learning techniques to identify patterns, trends, and causal relationships in the data. The researcher will also explore the ethical, legal, and social implications of using large-scale data for health and wellbeing purposes.
This collaboration work will relate to the work at Ulster University in several ways as the researcher will.
1) be supervised by academic staff from the Intelligent Systems Research Centre (IRSC), who have expertise in capturing and analysing health and wellbeing data for research, education, and dissemination into the relevant governmental and educational organisations [1-3].
2) benefit from the resources and facilities of the IRSC.
3) have the opportunity to collaborate with other researchers and stakeholders from the health and wellbeing sector, both within and outside Ulster University [4-5].
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.
We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.
In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.
Appointment will be made on merit.
This project is funded by:
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £21,000 (tbc) per annum for three years (subject to satisfactory academic performance).
This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
[2] eCareWell – A University of Ulster study
[4] Robinson, T., Condell, J., Ramsey, E., Leavey, G. (2023) Self-management of subclinical common mental health disorders (anxiety, depression, and sleep disorders) using wearable devices. MDPI International Journal of Environmental Research and Public Health 2023; Special Issue "Connected Health: Status and Trends": Digital Health
[5] Vijayan, V., Connolly, J. P., Condell, J., McKelvey, N., & Gardiner, P. (2021). Review of Wearable Devices and Data Collection Considerations for Connected Health. Sensors, 21(16), 1-31. [e5589]. https://doi.org/10.3390/s21165589
Submission deadline
Monday 1 July 2024
04:00PM
Interview Date
July 2024
Preferred student start date
16 September 2024
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