Variable Hours Research Assistant
University of Oxford – Stephen A. Schwarzman Centre for the Humanities · United Kingdom
Research Assistant position at Oxford Internet Institute to support community AI systems development. Must have published articles in NLP or Machine Learning conferences and be pursuing a doctorate in Social Data Science or related field.
This opportunity has closed.
About this opportunity
The Oxford Internet Institute (OII) is a multidisciplinary research and teaching department of the University of Oxford, dedicated to understanding the relationship between emerging technologies and society.
We have an exciting opportunity for a Research Assistant to join Prof Scott Hale’s team at the Oxford Internet Institute, University of Oxford. This is a variable hours, fixed-term position until 31 December 2026 averaging 20 hours per week - 140 hours maximum in total, and due to start as soon as possible and likely to be week commencing 16 November 2026. You will be based at the Schwarzman Centre, Oxford but there may be the opportunity for hybrid working within the UK.
Funded by Innovate UK, the project Community AI requires a motivated and enthusiastic research assistant to help the build and evaluate small community AI systems within the context of the project and the Equitable Access to Quality Information Lab (eaqilab).
Responsibilities include:
Managing own time and administrative activities
Contributing to the designing of research materials and making arrangements for data gathering
Undertaking comprehensive and systematic literature reviews
You will Have published articles in NLP or at Machine Learning conferences, and be working towards a doctorate in Social Data Science or a related field. Experience of working with Knowledge Graphs is also desirable.
Full details are found in the Job Description provided. If you would like to discuss this role, please contact Prof Scott Hale scott.hale@oii.ox.ac.uk.
You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application.
Only applications received before noon on 5 November can be considered.
Interviews are due to take place on 11 November.
Committed to equality and valuing diversity.
Eligibility
Not specified by the source
Academic requirements
You will Have published articles in NLP or at Machine Learning conferences, and be working towards a doctorate in Social Data Science or a related field.
English language requirements
Not specified by the source
How to apply
Not specified by the source