Research Fellow in Discrete Choice Modelling and AI
Develop AI-assisted methods for specifying, estimating, and validating discrete choice models within the Choice Modelling Centre. Lead methodological research, develop open-source software, and publish in leading journals while collaborating across transport, health, and environmental applications. Requires expertise in discrete choice modelling, behavioural data science, or machine learning with a focus on interpretable AI and econometric theory.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
The University of Leeds is one of the top 80 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.
Do you have expertise in discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural realism and interpretability?
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 complements 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.
Searching for Machine Learning & AI roles that provide visa sponsorship? Connect with international employers through Machine Learning & AI Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent
What We Offer In Return
- 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
- Generous pension scheme options plus life assurance
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
Interested in opportunities specifically in United Kingdom? Discover our dedicated Visa Sponsorship Jobs in United Kingdom page featuring roles from top employers in this location.
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
To explore the post further or for any queries you may have, please contact:
Professor Stephane Hess, Professor of Choice Modelling
Email: [email protected]
Similar Jobs
Explore other opportunities that match your interests