Research Assistant in Spatial Simulations

University of Leeds

Leeds, United Kingdom

ID: 7086879 (Ref.No. ENVGE1159)
Posted: October 11, 2021

Job Description

Are you an early career researcher looking to widen your experience and engage in cutting-edge methods development? Do you have experience of complex simulations, multilevel modelling of epidemiological data and an understanding of causal inference methods? Do you want to further your career from this exciting opportunity in one of the UK’s leading research intensive universities?

This fixed-term post is to help achieve the objectives of an ongoing project within the timeline of an existing grant funded by the Alan Turing Institute, overseen by Turing Fellows Profs Alison Heppenstall and Mark Gilthorpe. The challenge is to integrate causal inference methodology with individual-based simulation modelling within a hierarchical framework. This will involve working to assists and in collaboration with the project postdoctoral Research Fellow Dr Kellyn Arnold. 

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

Prof Mark S Gilthorpe, email:


Prof Alison J Heppenstall, email:

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  School of Geography
Category:  Research
Grade:  Grade 6
Salary:  £27,924 to £33,309 p.a.
Working Time:  100% - We will consider job share / flexible working arrangements
Post Type:  Full Time
Contract Type:  Fixed Term (until 30th April 2022)
Release Date:  Friday 08 October 2021
Closing Date:  Friday 05 November 2021
Reference:  ENVGE1159

The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.


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