This project is funded by:
In this exciting PhD research opportunity, the PhD researcher will work closely with the Public Health Agency (PHA) to analyse Lifeline, Northern Ireland's crisis response helpline. The PhD researcher, with a background in data analytics and/or statistics from a psychology or computer science background, for example, will analyse Lifeline service call data to identify patterns in caller behaviour and counsellor responses. There will also be an opportunity to trial real-time service performance dashboards and explore options for modernisation of the service, for example to experiment in the use of generative AI for chatline response generation. These insights will help guide PHA in preparing for a transition to the Encompass system.
The PhD researcher will spend around 3 months at the PHA premises over the 3-year period. There will also be opportunities to facilitate face-to-face workshops involving Lifeline, PHA and Ulster teams members and others, and to identify the current challenges and opportunities in the development of this helpline, as well as new ideas and research questions that can inform the development and trial of new analytical components.
Ulster University will support the PhD researcher and the PHA by providing expertise in data analytics, statistical analysis and machine learning, and the PhD researcher will also be supported by the Doctoral College training resources at Ulster.
The School of Computing at Ulster University was awarded the Athena SWAN (Scientific Women's Academic Network) equality charter mark from 2016 and is committed to promoting and advancing gender equality in Higher Education. We particularly welcome female applicants, as they are under-represented within the School.
The normal PhD researcher stipend of £20,000 is enhanced with a total additional stipend payment of £12,000 over the three years. This realises a financially attractive stipend of £24,000 per annum, equating to £2,000 per month tax free to the PhD researcher.
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:
This scholarship will cover tuition fees and provide a maintenance allowance of £24,000 per annum for three years (subject to satisfactory academic performance). A Research Training Support Grant (RTSG) of £900 per annum is also available.
To be eligible for these scholarships, applicants must meet the following criteria:
Applicants should also meet the residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Due consideration should be given to financing your studies.
Raymond R. Bond, Maurice D. Mulvenna, Courtney Potts, Siobhan O’Neill, Edel Ennis & John Torous (2023) Digital transformation of mental health services. npj Mental Health Res 2, 13. https://doi.org/10.1038/s44184-023-00033-y
O'Neill, S., Bond, RR., Grigorash, A., Ramsey, C., Armour, C., & Mulvenna, M. (2019). Data analytics of call log data to identify caller behaviour patterns from a mental health and wellbeing helpline. Health Informatics, 25(4), 1722-1738. https://doi.org/10.1177/1460458218792668
Turkington, R., Mulvenna, M., Bond, RR., O'Neill, S., Potts, C., Armour, C., Ennis, E., & Millman, C. (2020a). Why do people call crisis helplines? Identifying taxonomies of presenting reasons and discovering associations between these reasons. Health Informatics Journal, 1-17. https://doi.org/10.1177/1460458220913429
Woodward, A. & Wylie, C., Helplines, Tele‐Web Support Services, and Suicide Prevention. In: O'Connor, R. C. & Pirkis, J. (Eds.) (2016) International handbook of suicide prevention: Research, policy and practice (2nd edition). Wiley Blackwell.
Submission deadline
Friday 16 May 2025
03:00PM
Interview Date
late May / early June
Preferred student start date
15 September 2025
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Email
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