professor profile picture

David Meads

Professor

University of Leeds

Country flag

United Kingdom

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar
Academic Page

Research Interests

Health Economics

10%

Statistics

10%

Psychology

10%

Salud Pública

10%

Choice Experiment

10%

Medical Science

10%

Aging

10%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions1

Publisher
source

University of Leeds

University of Leeds

Fully Funded PhD in Health Economics and Falls Prevention Technologies at University of Leeds

Fully funded PhD opportunity at the University of Leeds on patient and provider preferences for falls prevention technologies in residential social care settings . This project sits within health economics , social care economics , ageing , dementia , and stated preference methods , including Discrete Choice Experiments (DCEs) . The research will examine how technologies designed to reduce falls in care homes and residential social care are valued by different stakeholders, with a focus on implementation, decision-making, and real-world uptake. The studentship is linked to the SENSITISE project and is supervised by John O’Dwyer , David Meads , and Carl Thompson at the University of Leeds. The student will be based primarily in the Academic Unit of Health Economics and work across the School of Medicine and School of Healthcare in an interdisciplinary environment. Funding includes UK tuition fees , a UKRI-rate stipend (stated as £20,780 in 2025/26), and additional research support of up to £8,000 . The award is for a UK candidate only . Entry requirements include a 2:1 undergraduate degree or equivalent in a quantitatively oriented subject such as economics, statistics, mathematics, operational research, or epidemiology. A relevant master’s degree is desirable but not essential. Applicants should also have strong communication skills, independence, and an interest in quantitative and qualitative research methods. The English language requirement listed is IELTS 7.0 overall with 6.5 in each component or equivalent. The deadline is 17 July 2026 , with a planned start date of 1 October 2026 . To apply, complete the online form and upload a statement, CV, transcripts, degree certificate, and English language evidence if needed. Be sure to select PhD in Medicine , include the project title, name the supervisors, and state that you are applying for an NIHR SSCR Scholarship .

just-published