The erstwhile vibrant nature of the global health systems was temporary brought to its knees by the outbreak of COVID 19 pandemic in the early days of 2020. According to the World Health Organisation, the whole of world’s healthcare industry was brought under intense pressure stretching others including UK’s NHS beyond its capacity. As of February 2023, over 758 million cases have been confirmed while over 6.8 million deaths have been reported globally. The pandemic brought to fore the apparent lack of preparedness, resilience and flexibility in organisational structure of hospitals and healthcare systems generally. This is to the extent that despite the significant rate of infections and deaths on a global scale, hospitals have continued to face high demand for services as they try to catch up with the backlog of patients who have had to postpone non-urgent procedures or appointments due to the pandemic on one hand, and post covid medical complications on another.
The clamour by healthcare organisations for efficient post covid risk management has highlighted the need for decision-support tools to help them become more resilient to post covid related risks. This PhD studentship offers an exciting opportunity to conduct research regarding the development and implementation of AI-enabled tool for managing healthcare risks. In this context, the successful candidate will be expected to engage with strategic healthcare organisations within the NHS involved in the provision of healthcare to collect and analyse both qualitative and quantitative data within a range of case-studies in the healthcare sector.
Applicants should submit a more detailed proposal that expands the broad outline given above. They are encouraged to contact the supervisor to further explore and discuss their proposal before submitting their application.
Academic qualifications
A first-class honours degree, or a distinction at master level, or equivalent achievements in Construction Management, Facilities Management, Building, Architecture, or a related discipline.
English language requirement
If your first language is not English, comply with the University requirements for research degree programmes in terms of English language.
Application process
Prospective applicants are encouraged to contact the supervisor, Dr. Dubem Ikediashi (D.Ikediashi@napier.ac.uk) to discuss the content of the project and the fit with their qualifications and skills before preparing an application.
Contact details
Should you need more information, please email SCEBERDL@napier.ac.uk.
The application must include:
Research project outline of 2 pages (list of references excluded). The outline may provide details about
- Background and motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results.
- Research questions or
- Methodology: types of data to be used, approach to data collection, and data analysis methods.
- List of references
The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support.
- Statement no longer than 1 page describing your motivations and fit with the project.
- Recent and complete curriculum vitae. The curriculum must include a declaration regarding the English language qualifications of the candidate.
- Supporting documents will have to be submitted by successful candidates.
- Two academic references (but if you have been out of education for more than three years, you may submit one academic and one professional reference), on the form can be downloaded here.
Applications can be submitted here.
Download a copy of the project details here.
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