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Research Fellow in Modelling Complex Systems

Are you an ambitious researcher looking for your next challenge? Do you have an established background in modelling complex systems? Do you want to further your career in one of the UKs leading research intensive Universities?

As part of the PIGSustain project funded by the Global Food Securityyou will work closely with a large team of researchers and stakeholders across multiple disciplines in leading institutions across the UK. You will use a systems modelling approach to investigate the resilience of a complex system, the UK pig industry, in response to projected future shocks and trends.

PIGSustain will gather data in order to understand how sustainable intensification and predicted climate changes are expected to impact on the entire pig industry – from the health, disease and welfare of the animals, to consumption patterns and retail prices, which ultimately impact farmers. Gathering information on emerging diseases with the UK pig population is particularly important for the team because, unlike any other animal, it is possible for pigs to translate animal diseases into human forms.

You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Matlab/Python. Excellent communication skills with the ability to talk to different audiences is necessary, as you will be collaborating with a large team of researchers across multiple disciplines.

To explore the post further or for any queries you may have, please contact:

Lisa Collins, Professor of Animal Science

Tel: +44 (0)113 343 5940  email: L.Collins@leeds.ac.uk

 

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Biological Sciences
School/Institute
School of Biology
Category
Research
Grade
Grade 7
Salary
£32,004 to £38,183 p.a.
Working Time
37.5 hours
Post Type
Full Time
Contract Type
Fixed Term (for 36 months)
Release Date
Thursday 20 April 2017
Closing Date
Thursday 18 May 2017
Interview Date
Monday 12 June 2017
Reference
FBSBY1066
Downloads
Candidate Brief (PDF)
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