Research Fellow in Agent-based Modelling

Leeds, United Kingdom
£33,797 to £40,322 p.a
08 May 2020
End of advertisement period
06 Jun 2020
Contract Type
Fixed Term
Full Time

Are you an ambitious researcher looking to contribute towards the COVID-19 pandemic response? Do you have an established background in data science and behavioural analysis? Do you want to further your career in one of the UKs leading research intensive Universities?

The COVID-19 pandemic has highlighted the precarious situation in which healthcare workers find themselves where treating infectious disease. The infectiousness and asymptomatic nature of COVID-19 means that healthcare workers are both at high risk of infection and of transmitting the virus to non-COVID patients within the hospital. To mitigate these risks, a better understanding of the behavioural and spatial factors affecting virus exposure and transmission is needed.

The SAFER project, funded by the Medical Research Council (MRC) on COVID-19 Rapid Response funding, aims to understand patterns of COVID-19 transmission within a hospital setting and develop optimal approaches for reducing transmission risk. To achieve this, the study will track, analyse, and subsequently model the behaviour, activities, and attitudes of a large cohort of healthcare workers at University College London Hospital (UCLH). Participating healthcare workers will furthermore submit to regular COVID-19 testing and supporting virological analysis will enable a detailed spatiotemporal analysis of transmission pathways. 

The project is a collaboration between University of Leeds, University College London, and UCLH. There are two Research Fellow positions available at Leeds. The researchers appointed will be expected to work closely with colleagues at UCL to deliver the project objectives.

In this particular role, you will combine analyses of healthcare workers trajectories with qualitative studies on infection control behaviour (conducted by the UCL Centre for Behaviour Change) and develop agent-based models of COVID-19 transmission and infection control at UCLH. These models will be developed for scenario testing, based on the observed patterns of activity at UCLH under COVID-19 conditions. The models will be expected to be available for decision-makers at UCLH (e.g. clinicians, management).

Please note that these positions will be required to start as soon as possible, but we will consider flexible working arrangements.

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

Professor Ed Manley

Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: School of Geography
Category: Research
Grade: Grade 7
Salary: £33,797 to £40,322 p.a. due to funding restrictions this post will be appointed at no higher than spine point 31 - £34,804
Working Time: 100% - We will consider flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (until 30/09/21)
Closing Date: Saturday 06 June 2020
Reference: ENVGE1122
Downloads: Candidate Brief