Funded PhD opportunity: IAHS studentship on evaluating artificial intelligence for breast cancer screening (University of Aberdeen)

Posted 2022.02.02

The Health Economics Research Unit (HERU) University of Aberdeen are currently advertising a PhD opportunity on 'Methods for the economic evaluation of artificial intelligence (AI) algorithms in breast cancer diagnosis'.

About the Project

There are well established decision analytic modelling techniques to support the economic evaluation of diagnostic and screening technologies. However, there are some specific challenges relating to evaluation and implementation of AI technology. The PhD project will explore ways of addressing these challenges for the evaluation and implementation of AI for breast cancer screening.

This project is part of a competition funded by the Institute of Applied Health Sciences (IAHS) at the University of Aberdeen. Full funding is available to UK candidates only. All other candidates can apply for this studentship but will have to find additional funding to cover the difference between overseas and home fees (approximately £17,000 per annum).

The lead supervisor is Dr Graham Scotland of HERU. The project will suit a numerically skilled student with interests in economic evaluation and decision modelling, but also the use of mixed methods to understand barriers to implementation and/or public perceptions and preferences. Candidates should hold a post graduate qualification in health economics, medical statistics, or a related quantitative discipline. You will join a multidisciplinary collaborative team with an international reputation in the areas of health economics and health services research, health data science applied to the development and evaluation of artificial intelligence algorithms, and clinical expertise in breast cancer screening. 

Candidates should contact the lead supervisor (Dr Graham Scotland) to discuss the project in advance of applying, as supervisors will be expected to provide a letter of support for suitable applicants. Candidates will be informed after the application deadline if they have been shortlisted for interview.

Application ends: Friday, 18 March 2022

Find more information and apply by 18 March 2022