Opportunity for a mathematical modeller to work on the disease and transmission dynamics of schistosomiasis with the FibroScHot Consortium

We are looking to recruit a dynamic, enthusiastic and talented individual to join the Centre for Emerging, Endemic and Exotic Diseases (CEEED) and the FibroScHot Consortium (https://www.fibroschot.eu) as a mathematical modeller investigating the disease and transmission dynamics of severe and persistent schistosomiasis. This is an exciting new position and an opportunity to join a multidisciplinary team producing cutting-edge research on the epidemiology and population biology of schistosomiasis.

You will play a lead role in developing statistical models of the association between infection and the severity of schistosomiasis and in developing transmission models for projecting the effectiveness of different intervention strategies in controlling severe morbidity. You will work closely with researchers across multiple disciplines including clinicians, field epidemiologists, molecular biologists, data scientists and other mathematical modelers associated with the London Centre for Neglected Tropical Disease Research (https://www.londonntd.org). Ultimately, your research will provide cornerstone evidence for policy recommendations on controlling morbidity associated with schistosomiasis in transmission hotspots.

This position is ideally suited to someone with a PhD in infectious disease epidemiology, mathematical modelling, statistics or a related quantitative discipline. The ideal applicant will have research experience in the epidemiology of neglected tropical or parasitic diseases.

Prospective applicants are encouraged to contact Dr Martin Walker, Lecturer in Epidemiology, Department of Pathobiology and Populations Sciences (Tel: +44 (0)1707 666333 Email: mwalker@rvc.ac.uk and/or Professor Joanne P Webster, jowebster@rvc.ac.uk)

Royal Veterinary College
Potters Bar, nr. London
Closing date
August 30th, 2019
Posted on
July 31st, 2019 15:07
Last updated
July 31st, 2019 15:07