National Heart and Lung Institute PhD Studentship in Medical Statistics, Imperial College London
The National Heart and Lung Institute of Imperial College London is seeking applications from candidates with a Master’s degree (or equivalent) in Medical Statistics or Epidemiology or a related discipline, for a 3 year PhD studentship. The candidate will apply novel statistical methods to data from a longitudinal clinical database to assess whether early life growth and nutrition predict later health in children with cystic fibrosis.
This project will use data from cystic fibrosis registries in the UK, Canada and Denmark. Candidates will use and develop novel statistical methods for longitudinal growth curve analysis to identify differences in growth trajectories between children with cystic fibrosis, identify factors that may explain such differences and determine whether these differences influence long term prognosis. We are particularly interested in applications from those with experience working with large and complex epidemiological datasets arising from surveys or health utilisation records and who envisage a career in medical statistics.
The studentship has been made possible by a Strategic Research Centre (SRC) grant from the Cystic Fibrosis Trust (CF-EpiNet; Harnessing Data to Improve Lives) and is a collaboration between epidemiologists, statisticians, economists and clinicians working across 6 universities. The studentship will be based within the group of Professors Deborah Jarvis and Paul Cullinan at the National Heart and Lung Institute, Imperial College London, at the Royal Brompton Campus. Work will be co-supervised by Dr Sanja Stanojevic at the University of Toronto.
The National Heart and Lung Institute provides an exciting environment, with state of the art facilities and excellent opportunities for PhD student training including research seminars and journal clubs. Senior, post-doctoral and PhD student statisticians working in epidemiology (Bayesian modelling, longitudinal analyses, statistical genetics work) meet regularly to discuss their developments in their specialty. NHLI also provides extensive collaborative opportunities with other research groups.
Applicants should hold a first or upper second class honours degree in a relevant subject (mathematics, statistics or epidemiology) and an MSc in a relevant subject (medical statistics, epidemiology or related discipline). Excellent skills in quantitative research methodology, statistical methods, analysis of large and complex datasets, data management and the use of statistical software are all essential. All students will belong to Imperial’s Graduate School which provides a comprehensive Professional Skills Programme and has received the Times Higher Award for Outstanding Support for Early Careers Researchers in 2006 and 2008.
The studentship will be funded for 3 years with a tax free bursary of £22,278 per annum. Tuition fees at the Home/EU rate will also be paid. International students should note that those who are not UK/EU citizens will need to provide evidence that they have financial resources to pay the difference between the Home/EU and the overseas tuition fee rates.
Any enquiries relating to the project and/or suitability should be directed to Prof. Debbie Jarvis(d.jarvis@imperial.ac.uk) or Dr Sanja Stanojevic (sanja.stanojevic@sickkids.ca).
How to apply
please send a CV, a one page personal statement, and the names and addresses of at least two academic referees to Deborah Jarvis by email on d.jarvis@imperial.ac.uk. Please note that all candidates must fulfil College admissions criteria.
Application deadline: 5pm, 28 February 2016
Start date: At a time between 04 April and 03 October 2016 (latest)
This opportunity has expired. It was originally published here:
https://www1.imperial.ac.uk/nhli/training/postgraduate_research_nhli/studentships/