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Prof A Sheikh
Dr C Simpson
No more applications being accepted
Funded PhD Project (European/UK Students Only)
About the Project
Applications are invited for a 3-year PhD studentship within the Usher Institute of Population Health Sciences and Informatics (www.ed.ac.uk/usher) at The University of Edinburgh. This studentship is a Farr Institute (www.farrinstitute.org/) studentship and will benefit from the close collaboration with the Asthma UK Centre for Applied Research (www.aukcar.ac.uk). The PhD studentship will ideally begin in September/October 2017.
Asthma is now one of the commonest long-term conditions in the UK (and indeed the world) and for which there are enormous opportunities to achieve rapid improvements in health outcomes. This PhD studentship will be focused on creating a UK ‘learning health system’ for asthma. The focus will be on using ‘big data’ to better identify patients at risk of asthma exacerbations, improving preventive and acute care decisions in these patients with a view to reducing the risk of serious asthma attacks, hospitalisations and deaths.
The term ‘learning health system’ originated from the US Institute of Medicine’s expert roundtable on envisioning next generation health systems in which real-time data aggregation and analytics are used to support front-line clinicians in provisioning of evidence-based care. (See Best Care at Lower Cost: The Path to Continuously Learning Health Care in America on National Academies website)
Whilst improving asthma outcomes is an extremely important goal in its own right, this work clearly also has the potential to generate important transferable lessons for a number of other long-term conditions.
This studentship has been made possible and will benefit greatly from the strong synergies between the Farr Institute and the Asthma UK Centre for Applied Research. You will join a collaborative team of academics and PhD students distributed throughout the UK working towards the common goal of achieving a data driven step-change in asthma outcomes.
Academically strong candidates with a background in informatics, computer science, machine learning, epidemiology and statistics are particularly encouraged to apply.
The successful candidate will be based in Usher Institute of Population Health Sciences and Informatics (www.ed.ac.uk/usher) and will benefit greatly from the strong inter-disciplinary environment offered by the Farr Institute (www.farrinstitute.org), and the Asthma UK Centre for Applied Research (www.aukcar.ac.uk).
Before making your application, you are encouraged to contact the PhD supervisors for informal enquiries and to discuss your research proposal.
1st Supervisor: Prof Aziz Sheikh [Email Address Removed]
2nd Supervisor: Dr Colin Simpson [Email Address Removed]
Requirements
• Have or be predicted to obtain 2:1 or higher in a relevant undergraduate degree.
• Post-graduate degree in relevant field is desirable, or its equivalent if outside the UK.
• An interest in, and ideally experience of, healthcare research.
• A commitment to the highest standards of scholarship.
• Applicants must meet the entry requirements (including English language proficiency) for acceptance onto the University of Edinburgh Usher Institute of Population Health Sciences and Informatics PhD programme in Medical Informatics. Details at: www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=924
Following interview, the selected candidate will need to apply and be accepted for a place on the Medical Informatics PhD programme.
Application procedure
Please provide in pdf format:
• CV
• Personal statement indicating how you meet the criteria for the chosen studentship (maximum of 1 A4 side)
• Research proposal (maximum of 2 sides of A4, please include studentship project title and reference number)
• Degree certificate(s)
• Marks for your degree(s)
• 2 academic references
Email to: [Email Address Removed]
The closing date for applications: Fri 23 June 2017
The studentship will ideally begin in Autumn 2017.
Asthma is now one of the commonest long-term conditions in the UK (and indeed the world) and for which there are enormous opportunities to achieve rapid improvements in health outcomes. This PhD studentship will be focused on creating a UK ‘learning health system’ for asthma. The focus will be on using ‘big data’ to better identify patients at risk of asthma exacerbations, improving preventive and acute care decisions in these patients with a view to reducing the risk of serious asthma attacks, hospitalisations and deaths.
The term ‘learning health system’ originated from the US Institute of Medicine’s expert roundtable on envisioning next generation health systems in which real-time data aggregation and analytics are used to support front-line clinicians in provisioning of evidence-based care. (See Best Care at Lower Cost: The Path to Continuously Learning Health Care in America on National Academies website)
Whilst improving asthma outcomes is an extremely important goal in its own right, this work clearly also has the potential to generate important transferable lessons for a number of other long-term conditions.
This studentship has been made possible and will benefit greatly from the strong synergies between the Farr Institute and the Asthma UK Centre for Applied Research. You will join a collaborative team of academics and PhD students distributed throughout the UK working towards the common goal of achieving a data driven step-change in asthma outcomes.
Academically strong candidates with a background in informatics, computer science, machine learning, epidemiology and statistics are particularly encouraged to apply.
The successful candidate will be based in Usher Institute of Population Health Sciences and Informatics (www.ed.ac.uk/usher) and will benefit greatly from the strong inter-disciplinary environment offered by the Farr Institute (www.farrinstitute.org), and the Asthma UK Centre for Applied Research (www.aukcar.ac.uk).
Before making your application, you are encouraged to contact the PhD supervisors for informal enquiries and to discuss your research proposal.
1st Supervisor: Prof Aziz Sheikh [Email Address Removed]
2nd Supervisor: Dr Colin Simpson [Email Address Removed]
Requirements
• Have or be predicted to obtain 2:1 or higher in a relevant undergraduate degree.
• Post-graduate degree in relevant field is desirable, or its equivalent if outside the UK.
• An interest in, and ideally experience of, healthcare research.
• A commitment to the highest standards of scholarship.
• Applicants must meet the entry requirements (including English language proficiency) for acceptance onto the University of Edinburgh Usher Institute of Population Health Sciences and Informatics PhD programme in Medical Informatics. Details at: www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=924
Following interview, the selected candidate will need to apply and be accepted for a place on the Medical Informatics PhD programme.
Application procedure
Please provide in pdf format:
• CV
• Personal statement indicating how you meet the criteria for the chosen studentship (maximum of 1 A4 side)
• Research proposal (maximum of 2 sides of A4, please include studentship project title and reference number)
• Degree certificate(s)
• Marks for your degree(s)
• 2 academic references
Email to: [Email Address Removed]
The closing date for applications: Fri 23 June 2017
The studentship will ideally begin in Autumn 2017.
Funding Notes
This award and will provide an annual stipend for three years of £14,553 per year (subject to confirmation), plus University fees for UK/ EU students.
UK/EU tuition fees only (any eligible non-EU candidates must fund the remainder of the overseas tuition fee). For details on tuition fee status please see: http://www.ed.ac.uk/student-funding/tuition-fees/fee-status
There will in addition be £1000 funding towards research costs p.a. and up to £300 conference/travel fees p.a.
UK/EU tuition fees only (any eligible non-EU candidates must fund the remainder of the overseas tuition fee). For details on tuition fee status please see: http://www.ed.ac.uk/student-funding/tuition-fees/fee-status
There will in addition be £1000 funding towards research costs p.a. and up to £300 conference/travel fees p.a.
Project supervisors
Career overview
Sir Aziz Sheikh is a Professor of Primary Care Research and Development at The University of Edinburgh and serves as the Dean of Data. He is the Director of the Asthma UK Centre for Applied Research and a Research Director of Health Data Research UK, as well as the Deputy Director for the NIHR Global Health Research Unit on Respiratory Health (RESPIRE). Sir Aziz Sheikh holds multiple qualifications including BSc, MBBS, MSc, MD, FRCGP, FRCP, FRCPE, FFPH, FACMI, FFCI, FRSE, and FMedSci. He has acted as an adviser to various Scottish, UK, and international government bodies, as well as inter-governmental organisations such as the World Bank and the World Health Organization. He is an editorial board member for several journals including Health Informatics Journal, Journal of the Royal Society of Medicine, The Lancet Regional Health Europe, Medical Care, and PLoS Medicine, and is the Editor-in-Chief of the International Journal for Quality in Health Care. In recognition of contributions to medicine and health care, he was appointed an Officer of the Order of the British Empire in 2014 and received a knighthood in 2022 for services to COVID-19 research and policy.
Research interests
Sir Aziz Sheikh's research focuses on primary care and epidemiology, with significant interests in asthma and allergy. They leverage health information technology and data science to transform care delivery and improve population health. Sir Aziz Sheikh collaborates with academic colleagues globally and works closely with policymakers in the UK and internationally. They have held research grants exceeding $100 million and have published regularly in leading journals, accumulating over 50,000 citations and being recognised as a Highly Cited Researcher (Clarivate, 2018). Current project activities include work on health inequalities and asthma.
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