At a Glance
- Tasks: Develop advanced behavioural models using large-scale datasets and innovative methodologies.
- Company: Join the University of Leeds, a top 80 global university with a diverse community.
- Benefits: Enjoy 42 days of holiday, gym discounts, and professional development opportunities.
- Other info: Flexible working arrangements and a dynamic research environment await you.
- Why this job: Shape the future of behavioural modelling in transport, health, and environmental applications.
- Qualifications: Expertise in statistical modelling, econometrics, or machine learning required.
The predicted salary is between 41064 - 48822 £ 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 advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health and the environment?
Understanding human decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal studies. While these datasets offer unprecedented opportunities to understand behaviour at scale, they also present significant methodological challenges. Many of the most behaviourally realistic choice models remain computationally expensive to estimate, limiting their application to modern population-scale datasets.
Working with Professor Stephane Hess and colleagues within the Choice Modelling Centre, you will contribute to methodological advances that enable state-of-the-art discrete choice models to be applied to emerging data sources across transport, health and environmental applications. In particular, you will develop new computational and methodological approaches for advanced behavioural modelling using large-scale datasets.
The successful candidate will have the opportunity to develop new estimation approaches, contribute open-source software, publish in leading international journals and help shape future methodological research in behavioural modelling.
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.
Benefits:
- 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!
To explore the post further or for any queries you may have, please contact: Professor Stephane Hess, Professor of Choice Modelling.
Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: Institute for Transport Studies
Category: Research
Grade: Grade 7
Salary: £41,064 to £48,822 per annum
Working Time: 100% FTE - 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (12 months - to complete a specific task or time limited work.)
Release Date: Thursday 17 September 2026
Closing Date: Thursday 08 October 2026
Reference: ENVTR1227
Research Fellow in Large Scale Choice Modelling in Leeds 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.
