Research Associate

University of York
November 26, 2023
Offerd Salary:£36,024
Working address:N/A
Contract Type:fixed term basis for
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Associate




£36,024 per year


Grade 6

Contract status

Fixed term

Hours of work


Based at

University of York campus

Posted Date


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Job Reference



  • Job Description (12789).pdf (PDF, 278.6kb)
  • Role Description Department

    The Department of Psychology at the University of York is seeking a Research Associate in the area of predicting and obviating human error in visual monitoring tasks. The project is focused on attempting to predict when a person is likely to commit an error whilst engaged in a mundane visual monitoring task. Aside from collecting simple key press responses, thermal imaging of facial skin temperature will also take place. The intention is to use such measures to predict the likelihood of committing an error on the monitoring task. Ultimately an aim is to use AI to learn to predict when an upcoming error is likely. If successful the intention is to explore effective means to obviate such errors.


    The successful candidate will be primarily engaged with developing a variety of software to facilitate the design and running of the experiments and the processing of the data. In particular a key responsibility will be in the development of the AI to predict the likelihood of committing an error given the data from the experiments. This post is part of a DASA-funded project awarded to Dr Philip Quinlan.

    This role is offered on a fixed term basis for 15 months

    Skills, Experience & Qualification needed
  • Candidates should have a good first degree in a relevant discipline, and a PhD (completed or near completion), in experimental psychology, computer science or a cognate discipline.
  • Candidates should have experience of developing advanced software across a range of applications. Foremost are applications concerning data processing and AI modelling..
  • Candidates should have good programming skills, ideally in Python and Javascript, and an understanding of statistical methods
  • Interview date: December 2023

    For informal enquiries: please contact Dr Philp Quinlan (email: [email protected])

    The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

    We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

    We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

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