Research Assistant in Spatial Simulations

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: m.s.gilthorpe@leeds.ac.uk

https://medicinehealth.leeds.ac.uk/clinical-population-science/staff/361/professor-mark-s-gilthorpe

or

Prof Alison J Heppenstall, email: Alison.Heppenstall@glasgow.ac.uk

https://environment.leeds.ac.uk/geography/staff/1046/professor-alison-heppenstall