Research Fellow in Machine Learning Assisted Choice Modelling

You will join the Choice Modelling Centre to develop AI-assisted methods for specifying, estimating and validating discrete choice models. The project aims to bring together ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complement econometric theory and domain expertise.

The successful candidate will lead methodological research, develop open-source software, publish in leading journals, and collaborate with researchers across transport, health and environmental applications.

This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. Flexible working arrangements are also open for discussion.

The University of Leeds is one of the top 80 universities in the world, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904, it has a strong tradition of academic excellence reflected in first-class student education and world-leading research.

What we offer:

- 26 days holiday plus approximately 16 Bank Holidays/days that the University is closed by custom (including Christmas) — 42 days a year
- Generous pension scheme options plus life assurance
- Discounted staff membership at The Edge, a state-of-the-art campus gym with a pool, sauna, climbing wall, cycle circuit and sports halls
- Access to personal development courses run by the Organisational Development & Professional Learning team
- On-site childcare, shopping discounts and travel schemes