Research Fellow in Advanced Choice Modelling

Do you have research expertise in Choice Modelling? Are you interested in conducting methodological research to develop new approaches? Would you like to implement novel methodologies to advance the state-of-the-art in behavioural modelling and make a real-world impact?

Understanding the mechanisms and the drivers behind people’s choices has been the focal point of a range of academic disciplines and a key component in policy making, for example aiming to shift behaviours for a more sustainable future.

While choice models are a key tool in this area, competing approaches exist in mathematical psychology and in data-driven machine learning algorithms. These approaches  have been developed in parallel with only limited knowledge spillovers among them, but with the same core goal of understanding individual decision making.

The synergy of distinct disciplines that all focus on behavioural models and the development of new state-of-the-art modelling frameworks holds the promise of providing new Data-Driven Behavioural Models (DDBMs) combining the strengths and addressing the distinct limitations of each area. The development of DDBMs will come at a time when big data sources constantly challenge traditional modelling approaches. Additionally, the growth in human-machine interactions, such as with the advent of autonomous vehicles, will require the development of AI consistent with human behaviour to guarantee public safety and wider adoption in the market.

The Choice Modelling Centre at the Institute for Transport Studies seeks to hire an early career researcher to take part in the ERC-funded project “SYNERGY”. The project’s aim is to combine key techniques from Choice Modelling, Mathematical Psychology and Machine Learning, and help to develop new approaches.

The role will involve working at the cutting edge of Choice Modelling but with a keen focus on helping to build bridges across areas, helping to develop modelling frameworks that will actively shape future policy making. The successful candidate will need to demonstrate sufficient theoretical and technical knowledge in choice modelling, and possess an open mind to new ideas and approaches. Knowledge of a programming language, with an emphasis on R and/or Python, is also strongly advised.

As a member of the team, you will be based at the Institute for Transport Studies (ITS) where you will work with Professor Stephane Hess and other researchers in the Choice Modelling Centre (CMC), drawing also on expertise in its global network. You will become part of a highly productive team, have the opportunity to work with other groups in the University of Leeds and take part in international conferences for the purpose of disseminating the findings of the research. You are expected to contribute to methodological research on bridging choice modelling, mathematical psychology and machine learning in the context of transport, health and environment. 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.

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

Stephane Hess, Professor of Choice Modelling, Director of the Choice Modelling Centre

Tel: +44 (0)113 343 6611

Email: s.hess@leeds.ac.uk

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