PhD Studentship: Toward global estimates of spatial and temporal transmission of Chagas disease

University of Sussex - Quantitative Epidemiology

A Ph.D. studentship (42 months) is available from 20th of September under the supervision of Pierre Nouvellet, School of Life Sciences.

Deadline: 22nd June 2018

Fully funded PhD studentship available on the epidemiology of Chagas disease. Chagas disease is a vector-borne Neglected Tropical Disease (NTD) of great public health concern in the American continent, where an estimated 5.7 million people are affected.

This is an exciting project to estimate the spatial and temporal transmission of Chagas disease at a global scale. The project will 1) develop global geo-statistical models of the risk of Chagas disease transmission using machine learning algorithms and sets of environmental predictors, and 2) contribute to the development of a framework to conduct spatially-stratified cross validation of machine learning models and reduce the effect of spatial autocorrelation and data point uncertainty on model predictions.

The ideal candidate will have 1) a strong quantitative background (quantitative biology or epidemiology, statistics, programming, applied maths) and 2) a strong interest in public health and infectious diseases.

This project will involve collaborating with key partners at Imperial College London, the University of Princeton and the Pan American Health Organization.

Please submit a formal application using our online application system at http://www.sussex.ac.uk/study/phd/apply, including a CV, degree transcripts and certificates, statement of interest and names of two academic referees.

On the application system use Programme of Study – PhD in Biology.

Please make sure you include the project title and Supervisor’s name with your statement of interest on the application form.

This School funded position, which covers fees and a stipend at standard RCUK rates, is open to Home / EU applicants. Ideal candidates will have a strong background in Quantitative biology, Quantitative Epidemiology, Computer Sciences or Applied Statistics with additional experience of using the software R. Eligible applicants will have recently received an MSc and/or a First or high 2:1 BSc in a relevant subject. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section.

Contact Anna Izykowska for application enquiries (a.izykowska@sussex.ac.uk)

Contact Pierre Nouvellet, pierre.nouvellet@sussex.ac.uk, for enquiries about the project

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Type / Role:

PhD

Location(s):

South East England