Research Fellow

Full time/Fixed term (ending August 2027)

About the Role

Our environment is rich in information that changes over time. This information is rarely random: it contains reliable patterns. Humans acquire knowledge of these patterns though a process called statistical learning.  

We are recruiting a Research Fellow to join a project funded by The Leverhulme Trust (UK). The project will combine field-leading computational modelling with a new task that records learning over time. We aim to provide, for the first time, robust differentiation among competing theories of the mechanisms underlying statistical learning.

Your main role will be to take responsibility for the computational modelling component of the research - translating statistical learning theories into computational models that generate testable behavioural predictions. You will also play an active role in research planning and publication.

The successful candidate will be working within a strong research-focused team that consistently produce high quality outputs within a friendly, well-resourced and collegiate environment. You will have strong and well-evidenced academic competence in cognitive science, computer science or a related discipline, and strong programming skills (ideally but not necessarily in Python).  

For any informal queries about the role or the team, please contact Prof. Gary Jones at gary.jones@ntu.ac.uk.

Join Us

• Between 30 and 35 days annual leave per year (dependent on grade) plus statutory bank holidays and 5 university closure days pro rata 
• Hybrid working - we encourage and offer a mixture of office working and working from home.  You're empowered to define how you work best for the benefits of your stakeholders.
• Flexibility - take ownership over how you get your work done.  We're open to different working patterns and approaches.
• Access to a wealth of formal and informal professional development opportunities to develop your skills and advance your career.
• Range of health and wellbeing services, voluntary benefits, discounts, and savings for all colleagues. Find out more about the range of benefits we offer at  Benefits | Nottingham Trent University

Safe and Inclusive

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications.

Whilst this role is currently eligible for sponsorship under the Skilled Worker Route, upcoming immigration rules changes may impact on eligibility for sponsorship, we recommend that you assess your eligibility before applying for this position. Visit https://www.gov.uk/skilled-worker-visa for more information. 

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