Research Fellow in Decision Making under Uncertainty

University of Leeds

More jobs at University of Leeds


United Kingdom

Position type:

Full time


£33,199 to £39,609 p.a.

18 Oct 2018
15 Nov 2018

Full details:

Reference number: LEE-ENVEE1282

Are you an ambitious researcher looking for your next challenge?

Do you have a background in decision making under uncertainty or sustainable transport?

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 develop new approaches to support decision makers in making rapid and transformative change to infrastructure systems. You will participate in a five-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 two case studies, working with project partners to apply and develop adaptive decision making approaches and modify partner appraisal processes. You will lead one of these case studies; of decision making in regional transport planning. You will work closely with Transport for Greater Manchester (TfGM), trialling adaptive decision making techniques such as dynamic adaptive decision policy pathways and robust decision making on a series of live projects. You will develop decision support tools and, if appropriate, models that can support more effective project and strategic appraisal.

You should also have, or be about to obtain, a PhD in decision making under uncertainty, transport studies or a closely allied discipline.

You will have experience of working with stakeholders to co-produce knowledge. Additionally, to effectively work in collaborative team environment, you should have excellent communication and interpersonal skills. The role would suit an individual with interest in applying decision making techniques to a specific sector or in 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 Uncertainty Tel: +44 (0)113 343 2656, email:




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