Job summary We are looking for a Research Associate in infectious disease epidemiology, mathematical modelling or statistics to work to improve the control of malaria. 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... Job listing information
Key information about the role
Job descriptionJob summaryWe are looking for a Research Associate in infectious disease epidemiology, mathematical modelling or statistics to work to improve the control of malaria. 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. Duties and responsibilitiesThe overall aims of the project are to:
Essential requirementsYou should have a PhD in one of the following areas: infectious disease epidemiology, population biology, mathematics, statistics, or a similarly quantitative discipline. Knowledge of statistical methods and software is required. You will also need a creative approach to problem-solving an excellent verbal and written communication skills. Further informationThis post is full-time and fixed-term until 31 May 2023 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements. Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,045 - £39,183 per annum. Should you have any queries please contact Dr Thomas Churcher (thomas.churcher@imperial.ac.uk). The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/ The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
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