Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study

Apply and key information  

This project is funded by:

    • Department for the Economy (DfE)

Summary

This PhD programme will develop and evaluate AI-assisted, pharmacist-led clinical decision-support models for metabolic diseases such as diabetes and chronic kidney disease. The project focuses on integrating advanced prediction tools into medicines optimisation workflows. It combines clinical pharmacy, artificial intelligence, and implementation science within real-world care pathways.

Using federated learning, the research will build models that identify patient-specific risks and therapeutic opportunities. These outputs will be incorporated into pharmacist-facing dashboards to support safer, more personalised treatment decisions.

The student will develop skills in:

  • Artificial intelligence for clinical prediction
  • Federated and privacy-preserving analytics
  • Implementation science and service evaluation
  • Health-data governance across healthcare systems
  • Medicines optimisation in metabolic disease management

This project contributes to wider efforts to advance medicines optimisation through innovation, with clear potential for clinical and system-level impact.

Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first application on the system will be deemed your first-choice preference and further applications will be ordered based on the sequential time of submission.

If you are successfully shortlisted, you will be interviewed only on your first-choice application and ranked accordingly. Those ranked highest will be offered a PhD studentship.

In the situation where you are ranked highly and your first-choice project is already allocated to someone who was ranked higher than you, you may be offered your 2nd or 3rd choice project depending on the availability of this project.

AccessNI clearance required

Please note, the successful candidate will be required to obtain AccessNI clearance prior to registration due to the nature of the project.

Essential criteria

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.

  • Sound understanding of subject area as evidenced by a comprehensive research proposal
  • A comprehensive and articulate personal statement

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Completion of Masters at a level equivalent to commendation or distinction at Ulster
  • Practice-based research experience and/or dissemination
  • Experience using research methods or other approaches relevant to the subject domain
  • Work experience relevant to the proposed project
  • Publications record appropriate to career stage
  • Experience of presentation of research findings

Equal Opportunities

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.

Funding and eligibility

This project is funded by:

  • Department for the Economy (DfE)

This scholarship will cover tuition fees and provide a maintenance allowance of £21,000* (tbc) per annum for three years (subject to satisfactory academic performance).  A Research Training Support Grant (RTSG) of approximately £900 per annum is also available.

To be eligible for these scholarships, applicants must meet the following criteria:

  • Be a UK National, or
  • Have settled status, or
  • Have pre-settled status, or
  • Have indefinite leave to remain or enter, or
  • be an Irish National

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.

*Part time PhD scholarships may be available, based on 0.5 of the full time rate, and will require a six year registration period

Recommended reading

Scott MG et al. (2015). Integrated medicines management to medicines optimisation in Northern Ireland (2000–2014): a review. Eur J Hosp Pharm.
Hughes CM & Scott MG. (2005). STEPSelect: development and use in Northern Ireland. Int J Pharm Pract.
DfE. (2025). Life & Health Sciences Sectoral Action Plan.
DfE. (2025). Software & Cyber Sectoral Action Plan.
The Medicines Optimisation Innovation Centre (MOIC) – official publications (themoic.hscni.net).

The Doctoral College at Ulster University

Key dates

Submission deadline
Friday 27 February 2026
04:00PM

Interview Date
23rd March – 3rd April

Preferred student start date
14th September 2026

Applying

Apply Online  

Contact supervisor

Dr Ruoyin Luo

Other supervisors