Research Associate in Vector Ecology
Division/School School of Biological Sciences
Contract type Open Ended
Working pattern Full time
Salary £33,199 - £37,345 per annum
Closing date for applications 06-Jan-2019
A postdoctoral position is available to investigate the evolutionary and epidemiological consequences of maternal investment in tsetse flies, under the guidance of Dr Sinead English in the School of Biological Sciences, University of Bristol. The post will be funded by a BBSRC project with the overall aim of investigating the epidemiological consequences of reproductive senescence in a disease vector – the tsetse fly – which gives birth to live young and has extraordinary maternal investment.
The role of the Research Associate will be to develop evolutionary models of tsetse maternal investment, and to integrate evolutionary insights into epidemiological models to understand how vector life history affects disease transmission. This work presents an exciting and novel area in vector-borne disease research.
The Research Associate will benefit from collaboration and expertise with project partners across institutions (Bristol, Liverpool School of Tropical Medicine, Warwick, Oxford and South African Centre for Epidemiological Modelling and Analysis). In particular, the PDRA will be encouraged to spend time working alongside empiricists during intense periods of experimental data collection at LSTM. They will thus have the opportunity to learn techniques in fly dissection, physiological measurements and infection assays. Moreover, such interactions during theory development will ensure models are informed by insights from the lab and field.
The successful candidate will have a PhD in a relevant biological subject, a strong interest in vector biology, and experience of mathematical or computational modelling. They will be highly motivated, collaborative and an excellent communicator, and have a demonstrable desire to learn new skills. Training will be provided in the development of evolutionary models, using ordinary and partial differential equations in epidemiological models, and running individual. In addition, there is some flexibility to adjust the focus and direction of the work depending on the interests and expertise of the successful candidate.
For informal enquiries please contact Dr Sinead English (email: Sinead.firstname.lastname@example.org or tel: +44 (0)117 39 41195).
The closing date is 6th January 2019.
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