ML-Driven Research Fellow in Interpretable Choice Modelling

University of Leeds; Leeds; Hybrid; GBP 48,000 - 62,000; Full time

Benefits offered by this job

26 days holiday + bank holidays

Generous pension scheme

Health and Wellbeing: The Edge gym

Personal development courses

On-site childcare, shopping discounts,

Travel schemes

Job summary

The University of Leeds invites applications for a fixed-term role in the Choice Modelling Centre to develop AI-assisted methods for discrete choice models. You will lead methodological research, develop open-source software and collaborate with researchers across transport, health and environmental applications.

The successful candidate will publish in leading journals, contribute to cross-disciplinary teams and help advance interpretable AI in econometrics and behavioural data science.

Qualifications

• Expertise in discrete choice modelling and behavioural data science.
• Experience with machine learning methods applied to behavioural modelling.
• Ability to lead methodological research and publish in top journals.

Responsibilities

• Lead methodological research in discrete choice modelling and AI-assisted methods.
• Develop open-source software to support researchers and practitioners.
• Publish research findings in leading journals and present at conferences.
• Collaborate with researchers across transport, health and environmental domains.

Skills

Discrete choice modelling

Behavioural data science

Machine learning

Interdisciplinary collaboration

Job description

The University of Leeds invites applications for a fixed-term role in the Choice Modelling Centre to develop AI-assisted methods for discrete choice models. You will lead methodological research, develop open-source software and collaborate with researchers across transport, health and environmental applications.

The successful candidate will publish in leading journals, contribute to cross-disciplinary teams and help advance interpretable AI in econometrics and behavioural data science.