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Predictive disease modelling with multi-source data


National Heart and Lung Institute

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Prof A Cusovic , Dr S Fontella No more applications being accepted Funded PhD Project (European/UK Students Only)

About the Project

Applications are invited for a full-time PhD research position at the National Heart and Lung Institute, Imperial College London, UK. The PhD position will focus on applications of statistical learning modelling of multi-source data for clinical diagnose and prediction of respiratory diseases.

This project aims to integrate the information provided by clinical, molecular, genetic, environmental, and demographic characteristics to investigate the development of respiratory diseases (e.g. wheeze and asthma), to deepen our understanding of the causal mechanisms and to translate this knowledge into personalized prevention and management strategies.

The analyses and results will be presented in international conferences and will be published in high impact journals. The student will receive training on the use of statistical and machine learning approaches to analyse cross-sectional and longitudinal data obtained from birth cohort studies in order to develop diagnosis and treatments recommendations, and will be encouraged to develop his/her own interpretational algorithm.

The successful candidate will be based at the National Heart and Lung Institute, Imperial College London, but will have the opportunity to also work collaborate within the multidisciplinary research group working on the MRC-funded UNICORN (Unified Cohorts Research Network) programme. This exciting collaboration creates a unique opportunity for scientific excellence and career development in medical statistics and health data analytics.

The PhD student will be supervised by Prof Adnan Custovic and Dr Sara Fontanella.

Eligibility
The prospective candidate should have an excellent academic track record and have obtained an undergraduate degree at 2:1 level or higher in Statistics, Data Science or another relevant field. A Master’s degree with merit or higher (or non-UK equivalents) is desirable, but non-essential. Eligible candidates should be self-motivated, proactive, have excellent oral/written communication abilities and be able to work well within a multidisciplinary translational research team.

Application Process
To apply, please submit a one-page personal statement detailing your academic background and research interests, a CV and contact information of two professional/academic references via email to [Email Address Removed] by 20/06/2020. Informal enquiries should also be directed to Prof Custovic or Dr Fontanella via email ([Email Address Removed]; [Email Address Removed]. The studentship is expected to start in October 2020.

Funding Notes

This position is available as a fully funded PhD studentship, including 3 years of tuition fees and provides a 3-year, tax-free stipend (home and EU candidates) at the standard Research Council London rate.
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