U

Research Fellow in Discrete Choice Modelling and AI

university of leeds • United Kingdom
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

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
Develop AI-assisted methods for discrete choice models combining machine learning and econometrics
Lead methodological research and develop open-source software
Hybrid working arrangement with scope for flexibility

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Key Responsibilities
Develop AI-assisted methods for specifying, estimating, and validating discrete choice models
Investigate how large language models, optimisation algorithms, and automated model search methods can support researchers
Lead methodological research
Develop open-source software
Publish in leading journals
Collaborate with researchers across transport, health, and environmental applications

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Technical Skills Required
Discrete Choice Modelling Machine Learning Behavioural Data Science

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Benefits & Perks
42 days holiday per year
Generous pension scheme options plus life assurance
Discounted staff membership at The Edge campus gym
Access to on-site childcare
Shopping discounts and travel schemes

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.
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Job Overview
Posted Sep 15, 2026
Employment Full-time
Experience Not Applicable
Location United Kingdom
Category Machine Learning
Company university of leeds
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