Scientific Computing Researcher

University of Cambridge - Department of Plant Sciences

A postdoctoral position is 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.

Based in central Cambridge the scientific computing officer will work closely with postdoctoral and postgraduate researchers in the Epidemiology and Modelling Group to support the extensive scientific computing and modelling work currently undertaken. The main focus of the role will be to liaise with researchers to refine and develop efficient implementations of existing mathematical models, and to turn existing prototype code into reusable software tools. This will include developing a usable API library from existing code and wrapping models into web-enabled user-friendly front ends, managing large geospatial data sets, developing and implementing high performance algorithms using GPU (graphics processing unit) technology.

The ideal candidate will have a PhD in a related subject and good programming experience in both Unix and Windows environments, ideally in C or C++. They will also have experience of a scripting language (e.g. Perl or Python) and of a numerical programming language (e.g. Matlab or R) and a good mathematical background. Also advantageous would be experience working with large data sets; web application development and deployment; GIS; system administration; API development and GPU algorithms, although none of these are essential.  Good communication skills are essential as the post holder will need to work well in a team and collaborate widely. The post-holder will be based in the Epidemiology and Modelling Group at Cambridge where there is substantial expertise in modelling and scientific programming.

Fixed-term: The funds for this post are available until 31 December 2018 in the first instance.

To apply online for this vacancy and to view further information about the role, please visit:

http://www.jobs.cam.ac.uk/job/12053. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

Please upload your CV and covering letter.

Please notice that if you have not received any news from us 1 month after the closing date you should consider that on this occasion your application has not been successful.

Please quote reference PD10673 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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South East England