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Big Data driven treatments for Pulmonary Fibrosis

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

We invite applications for a 3-year PhD position, funded by the University of Nottingham to study ‘Big Data driven treatments for Pulmonary Fibrosis’. You will study with Professor Jenkins and Dr Iain Stewart and join a world-leading Academic Interstitial Lung Diseases team. This project will complement Professor Jenkins’ £1.7M NIHR Research Professorship entitled ‘Developing a biomarker guided strategy to treat patients with pulmonary fibrosis. You will be based with the Respiratory Theme of the Biomedical Research Centre within the Division of Respiratory Medicine.


The Division of Respiratory Medicine is based in the Clinical Sciences Building, City Hospital, Nottingham, an £8.5M investment by University of Nottingham. There are additional labs in the Queens Medical Centre. We built a clinical research facility with £1.5M NIHR Biomedical research Unit capital (2010), with consulting rooms, lung function, phenotyping facilities. Our translational arm, Nottingham Respiratory Research Unit (, has strong study design and statistics expertise and integrated PPI.

The School of Medicine is the largest school in the University, covering a diverse range of medical, surgical, and other healthcare disciplines. Our world-leading research ranges from basic and translational science through to clinical trials, health economics, epidemiology, and health services research. Our research covers 11 major themes and we are also home to 19 divisions and units.

We have a vibrant postgraduate community following a range of research programmes across the medical sciences, applied psychology, and other healthcare professions. Our mission is to improve human health and quality of life locally, nationally and internationally through outstanding education, research and patient care.

Further information and Application: Applications are invited from potential and recent UK or EU graduates. Applicants should have a minimum of a 2.1 undergraduate degree in a relevant subject such Bioinformatics, Statistics, Mathematics.

The successful applicants will receive the usual RCUK stipend with paid fees for Home/EU students.

Informal enquiries may be addressed to the principal supervisor Prof Gisli Jenkins at

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