Research Assistant in Data Assimilation and Individual-Level Modelling

University of Leeds

Leeds, United Kingdom

ID: 7087925 (Ref.No. ENVGE1162)
Posted: October 27, 2021

Job Description

Are you an ambitious researcher looking for your next challenge? Do you have experience with a background in computational methods applied in the social sciences? Do you want to further your career in one of the UK’s leading research-intensive Universities? 

You will work on a new project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). Agent-based modelling, and individual-level modelling more generally, is an ideal methodology for simulating phenomena that arise in human systems, such as contagious disease transmission. However, it is one that suffers from a serious drawback: models are not able to incorporate up-to-date data to reduce uncertainty. There is a wealth of new data being generated that could inform such models but we lack the tools to incorporate these streams of data into individual-level models. Instead, models are typically initialised with historical data and therefore their estimates of the current state of a system diverge rapidly from reality. 

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

Nick Malleson, Principal Investigator 

Tel: +44 (0)113 343 5248, 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 (5 months)
Release Date:  Tuesday 26 October 2021
Closing Date:  Tuesday 02 November 2021
Reference:  ENVGE1162

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