AI-Driven Choice Modelling Research Fellow

University of Leeds; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

26 days holiday + 16 bank holidays

Health and wellbeing benefits

Personal development courses

On-site childcare and travel discounts

Job summary

University of Leeds is seeking a Research Fellow in Machine Learning Assisted Choice Modelling to advance AI-enabled discrete choice methods on joint projects with transport, health and environmental domains.

The role combines methodological research with software development, rigorous validation and publication. It offers hybrid working options and opportunities for collaborative, cross-disciplinary impact.

Qualifications

• Expertise in discrete choice modelling and econometric methods.
• Experience with machine learning methods and AI tools.
• Ability to develop open-source software and publish research.

Responsibilities

• Lead methodological research in AI-assisted choice modelling.
• Develop open-source software for modelling and validation.
• Publish results in leading journals and conferences.
• Collaborate with researchers across transport, health and environmental applications.

Skills

Discrete choice modelling

Behavioural data science

Machine learning

Tools

Open-source software

Job description

University of Leeds is seeking a Research Fellow in Machine Learning Assisted Choice Modelling to advance AI-enabled discrete choice methods on joint projects with transport, health and environmental domains.

The role combines methodological research with software development, rigorous validation and publication. It offers hybrid working options and opportunities for collaborative, cross-disciplinary impact.