Research Assistant in Epidemiology

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The role

An exciting opportunity for a Research Assistant with a background in mathematical modelling / epidemiology has become available in the Faculty of Health and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics, at the University of Surrey.

The post holder will be working with Dr Joaquin Prada and European partners to develop epidemiological models for priority diseases in Europe as part of an EU funded project under the EU Partnership for Animal Health and Welfare (https://www.eupahw.eu/). In particular, the postholder will develop and integrate models for the spread of respiratory diseases in pigs and estimate the economic consequences of these diseases, with a focus on surveillance and control.

The postholder will take responsibility for data analysis and statistical and mathematical modelling aspects of the projects, integrating outputs from the teams at the partner institutions. In addition, they will be required to participate in activities in Europe. They will be expected to present their work at conferences and to write publications based on their research findings.

The post holder will have the opportunity to engage with other research fellows across the University and other project partners, and to take advantage of training opportunities targeted at early career researchers.

About you

You are finishing a PhD in mathematical modelling or related discipline with research experience in epidemiology/statistics and diseases in pigs, and you are looking for a part-time position as you finish writing up. You have a track record of working in a multidisciplinary team, excellent communication skills and the ability to work independently.

How to apply

For more information and to apply online, please download the further details and click on the 'apply online' button above.

For informal discussion about the post, please contact Dr Joaquin Prada via email at: j.prada@surrey.ac.uk.

Further details

Job Description