Research Fellow in Decision Making Under Deep Uncertainty

Leeds, United Kingdom
£33,797 to £40,322 p.a.
16 Jul 2020
End of advertisement period
14 Aug 2020
Contract Type
Fixed Term
Full Time

Are you an ambitious researcher looking for your next challenge? Do you have a background in decision making under deep uncertainty? Do you want to further your career in one of the UK’s leading research-intensive Universities?

Making decisions under conditions of deep uncertainty is a crucial challenge in transitioning to more sustainable and resilient infrastructure. This research will demonstrate how adaptive decision-making approaches can help practitioners navigate a wide range of uncertainties and support the transition to a more sustainable transport system.

You will participate in a six-year EPSRC-funded research project, Multi-Actor Adaptive Decision Making (MAADM). MAADM aims to understand how to make better decisions to transform infrastructure systems, taking into account deep physical and social uncertainties and the fact that multiple actors must make decisions and interact to deliver system transformation. A core part of the MAADM project is an in-depth case study, working with project partners to apply and develop adaptive decision-making approaches and modify partner appraisal processes. Under this post, you will test and refine decision making under deep uncertainty (DMDU) approaches (such as dynamic adaptive decision policy pathways and robust decision making), with a real case study in regional transport planning.

You will have a PhD or near completion in decision making under deep uncertainty. Any additional experience in transport sector modelling would be an advantage. You will also have experience of working with stakeholders to co-produce knowledge. Additionally, to work effectively in a collaborative team environment, you should have excellent communication and interpersonal skills. The role would suit an individual with interest in applying DMDU techniques to sustainable transport planning.

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

Dr Katy Roelich, Associate Professor in Decision Making under Deep Uncertainty

Tel: +44 (0)113 343 2656, email:

Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: School of Earth and Environment
Category: Research
Grade: Grade 7
Salary: £33,797 to £40,322 p.a.
Working Time: 100% - We will consider job share / flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (for 18 months)
Closing Date: Friday 14 August 2020
Reference: ENVEE1411
Downloads: Candidate Brief