Come work on the most effective way of combatting malaria!

We'RE looking for a Research Associate in infectious disease epidemiology, mathematical modelling or statistics to work to improve the control of malaria. No mosquito experience necessary, just a passion to #EndMalaria!

Malaria remains a major cause of suffering and death. Since 2000 there has been a substantial reduction in disease burden, but in recent years advances have stalled. The most effective way of controlling the disease is through the widespread use of insecticide treated nets. There is increasing evidence that mosquitoes are becoming resistant to the only type of insecticide that is used on these bednets. The public health impact of insecticide resistance remains unclear and this uncertainty is jeopardising current and future malaria control.

New types of bednets have been developed with different insecticides and are currently being trialed in multiple sites across Africa. This project will investigate how these new types of nets can be used to improve malaria control.

You will work as part of a large interdisciplinary team involving entomologists, epidemiologists, statisticians, and computer scientists working in Africa, Europe, and North America. You will develop novel analytical frameworks of characterising mosquito behaviour from different biological assays and incorporate this into an existing transmission dynamics mathematical model of malaria. This model developed in Imperial College London is widely used to support the decision making and you will have the opportunity to work closely with policy makers to ensure that the information learnt in this project is disseminated as widely as possible.