At a Glance
- Tasks: Develop AI-assisted methods for choice modelling and collaborate on innovative research projects.
- Company: Join the University of Leeds, a top 80 global university with a diverse community.
- Benefits: Enjoy 42 days of holiday, discounted gym membership, and personal development opportunities.
- Other info: Lead research, develop open-source software, and publish in leading journals.
- Why this job: Make a real impact in AI and behavioural science while working flexibly on campus.
- Qualifications: Expertise in discrete choice modelling, behavioural data science, or machine learning required.
The predicted salary is between 35550 - 43450 £ per year.
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 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.
Visa Eligibility: 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.
26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
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.
And much more!
Research Fellow in Machine Learning Assisted Choice Modelling in London employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant academic environment where innovation in teaching and research thrives. With generous holiday allowances, comprehensive health and wellbeing benefits, and extensive personal development opportunities, you will be supported in your professional journey while contributing to world-leading research in Plastic and Reconstructive Surgery. Located in the heart of Leeds, the university fosters a collaborative culture that values academic leadership and encourages meaningful contributions to the field.
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