The gap between supply and demand in healthcare resources driven by an aging population has become an evolving challenge in the UK and global economy. This PhD studentship will investigate how artificial intelligence (AI) methods can provide insight into health resource usage patterns, predict patient behaviour and facilitate hospital operational management. Existing AI methods applied in Electronic Health Records (EHR) will be investigated, and specific AI-based approaches for hospital operational management and patient social behavior will be developed.
This project is a partnership between the University of Reading and the Royal Berkshire NHS Foundation Trust, offered via the Economic and Social Research Council (ESRC) and the South East Network for Social Sciences (SeNSS). Please click here (https://www.henley.ac.uk/school/business-informatics-systems-and-accounting/bisa-phd-programmes/esrc-artificial-intelligence-phd-studentship-fund-competition
) to find a full project description.
We are seeking talented candidates with:
• a Master’s degree with distinction (or a 2:1 Bachelor Degree) in the areas of Artificial Intelligence, machine learning, data science, information management or health informatics
• experience in healthcare industry would be an advantage
• a track record of academic journal publication is desirable, or the ability to prepare high quality publications
• fluent English speaking (e.g. IELTS 7 or TOEFL 100 above)
• strong academic writing skills
• candidates should have an autonomous and proactive working style, good communication skills and the ability to work well in a team
How to apply:
1) Please submit an application for a PhD in Informatics and System Science via http://www.reading.ac.uk/graduateschool/prospectivestudents/gs-how-to-apply.aspx
. Please quote the reference ‘GS18-173’ in the ‘Scholarships applied for’ box which appears within the Funding Section of your online application.
2) At the same time, please submit an application to SeNSS for funding for this studentship. Please contact Reading’s administrative lead, Dr Joanna John ([email protected]
) for information on how to do this, and please discuss this application with Dr Li.
3) We would also like to see a sample of your written work. This might be a published conference or journal paper, or a chapter of your final year dissertation. Please include your writing sample with your SeNSS application form.
23.59 GMT on 18 November 2018
Interviews will be held in the week commencing 10 December
For informal enquiries, please email Dr Weizi Vicky Li ([email protected]
), Associate Professor of Informatics and Digital Health. For further information about SeNSS, contact Paul Newman, the SeNSS Co-ordinator ([email protected]