Research Fellow in Large Scale Choice Modelling
University of Leeds, Bagby Fields, Leeds
Research Fellow in Large Scale Choice Modelling
Salary not available. View on company website.
University of Leeds, Bagby Fields, Leeds
- Full time
- Temporary
- Onsite working
Posted 1 week ago, 18 Sep | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: 641cdf36a22c4ad9b65dac8edc407530
Location ref: Bagby Fields, Leeds
Full Job Description
Research Fellow in Large Scale Choice Modelling
Company:
University of Leeds
Salary:
£41,064 to £48,822 a year, pro rata
Hours:
Full-time
Location:
Leeds, LS2 9JT
Working pattern:
On-site
Job type:
Temporary
Posting date:
17 Sept 2026
Closing date:
8 Oct 2026
Summary
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.
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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?