PhD Studentship in Medical Statistics
A three year fully-funded (non-clinical) PhD Studentship in Medical Statistics
Expected start date February 2024.
We wish to appoint a non-medical PhD student to carry out a project exploring methodological aspects of clinical trials (and longitudinal data) for recurrent events or count outcomes in asthma and other chronic lung diseases, in the context of global health. This is an exciting opportunity for an ambitious student to conduct interdisciplinary research on global health with emphasis on the applications of current methods in statistics, epidemiology and statistical modelling. The PhD student will be registered at Imperial College in the National Heart and Lung Institute, and the work will be carried at the Brompton campus.
The National Heart and Lung Institute, Imperial, is located within the Main Campus at South Kensington, the Brompton Campus, and Hammersmith/White City Campus. All students benefit from a full programme of training in research and transferable skills organised through the Graduate School, the quality of which has been recognised several times at the Times Higher Education (THE) Awards.
Different projects are available depending on the interests and background of the candidate. Please be in touch to request project descriptions. Extensive collaborative work with clinical researchers is a common component.
Professor Maia Lesosky, National Heart and Lung Institute, Faculty of Medicine, Imperial College London.
Co-supervisors to be determined depending on initial project direction.
In collaboration with
Collaborators to be determined.
The awards are available for three years’ full-time study, providing tuition fees (Home rate), stipend (£20,622 per annum) and a small amount of consumables.
For overseas fee-paying students, the fee waived would be at the Home rate and successful applicants will need to pay the difference in the tuition fee if assessed as overseas.
A strong academic track record with a 2:1 or higher in a relevant undergraduate degree, or its equivalent if outside the UK. A Masters in a relevant field (statistics, biostatistics or epidemiology) is desirable. Proven experience in one or more of the following is desirable: previous experience of quantitative research, experience with data analysis, and clinical trial methodology. The successful candidates will work in a highly interdisciplinary environment and should be able to work independently and as part of a multi-disciplinary team.
Following interview, the selected candidate will need to apply and be accepted for a place on the PhD programme at Imperial College London.
Applicants whose secondary level education has not been conducted in English should also demonstrate evidence of appropriate English language proficiency normally defined as IELTS: 6.5 (overall score with not less than 6.0 in any of the individual elements).
How To Apply
Please provide a CV, a personal statement detailing your research interests and reasons for applying, degree certificate(s), marks for your degree(s) and the names of two academic references (we will only contact referees for successful applicants).
All documents should be in electronic format and sent via e-mail to Prof Maia Lesosky (email@example.com)
The successful candidate will then be required to submit a formal application for admission to a PhD via Imperial College London's online application site (called Imperial Gateway).
The closing date for applications is 2 January 2024
Interviews will be held via Microsoft Teams on a date to be confirmed soon.
Please contact Prof Maia Lesosky (firstname.lastname@example.org)