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Research Fellow in Choice Modelling

University of Leeds - Faculty of Environment: Institute for Transport Studies

Location: Leeds
Salary: £33,199 to £39,609 Grade 7 p.a.
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 20th August 2019
Closes: 18th September 2019
Job Ref: ENVTR1102

Salary: £33,199 to £39,609 p.a. Due to funding limitations an appointment is unlikely to be made above £37,345 p.a.

Working Time: 100% - We will consider job share / flexible working arrangements

Contract Type: Fixed Term (until 30 June 2020 due to external funding)

Are you an ambitious researcher looking for your next challenge?  Do you have a background in Choice Modelling?  Do you want to further your career in one of the UK’s leading research intensive Universities?

We are looking for a committed, highly motivated and innovative individual with strong choice modelling skills. This post is for working in an exciting long term research project, hosted in the Institute for Transport Studies (ITS), but with cross-university collaborations through the Choice Modelling Centre (CMC). The project looks at reconciling modelled choices with real world choices, recognising the choice process in our models, considering the use of differing decision rules and the operationalisation of alternative theories of behaviour. It is also concerned with modelling long term decisions, interactions between choices, and joint decision making.

The brief for this particular position is purposefully kept very broad. You will be expected to make a contribution to choice modelling work in one of the areas above, by developing new methods and conducting innovative applications. As this is a multi-faceted research project, you will be able to contribute to individual components of the work as well as helping to shape the direction of the research according to your own interests and background.

You will be expected to take academic ownership of large parts of the programme and make a lasting contribution to the field. You will also contribute to the empirical component of the project, which makes use of an innovative survey combining social network analysis, attitudinal surveys, a life course calendar and GPS smartphone tracking.

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

Professor Stephane Hess

Tel: +44 (0)113 343 6611, email:

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