Postdoc Position at University of Cambridge

University of Cambridge, UK is inviting excellent candidates to apply for a postdoc position in applied mathematics. This position is available for 2 years. Applications are invited up to July 28, 2019.

Two postdoctoral positions are available to work in the Epidemiology and Modelling Group of the Department of Plant Science at the University of Cambridge led by Professor Chris Gilligan to work on developing landscape scale epidemiological models of plant diseases across a variety of real-life systems.

We are seeking modellers to build on our work to describe how plant pests and diseases spread in a natural and agricultural setting including developed and developing countries. The modelling is intended to inform policy at a national and international level to aid in optimal surveillance to predict the future spread of emerging diseases and to allow for exploration of optimal management scenarios. You will be expected to communicate the results of these models to stakeholders from various national and international bodies. The successful applicants will work with the current team of modellers to optimise and expand existing modelling approaches and will have unique opportunities to inform the implementation of national disease management policies, as well as for publication.

Applications are invited from candidates with a PhD in applied mathematics, physics, statistics or a related subject. Familiarity with mathematical modelling of disease epidemics would be a strong advantage but is not essential. Knowledge of Python, R and handling spatial data is highly desirable. The ideal candidates will be able to work closely with biologists to incorporate realistic biological processes into models. Good communication skills are essential as the post holders will need to work well in a team and collaborate widely including communicating modelling results effectively to specialists and to non-technical clients and policy agencies. The post-holders will be based in the Epidemiology and Modelling Group at Cambridge where there is substantial expertise in modelling and parameter estimation.

Project details: Epidemiological modelling provides a powerful means of integrating current knowledge and comparing the effectiveness of different potential disease control strategies before they are implemented. Through the development and implementation of an epidemiological toolbox we seek to address a number of key questions relating to real world plant disease epidemics: Given patchy and incomplete surveillance data are we able to estimate parameters for an epidemiological model? How can we make accurate predictions of the future spread of emerging plant disease epidemics? How can we identify which strategies are most likely to reduce the risk of future spread? How can the results of such simulations be best communicated to key stakeholders?

Fixed-term: The funds for this post are available for 2 years in the first instance.

Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

CV and covering letter required. Contact Sally Hames ( if you have any queries.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

Deadline: July 28, 2019
Apply Link:

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