Research Associate

University of Cambridge - Leverhulme Centre for the Future of Intelligence

In collaboration with the Machine Learning Group, the Leverhulme Centre for the Future of Intelligence (CFI) at the University of Cambridge invites applications for a postdoctoral Research Associate to work on the project 'Trust and Transparency in AI', which spans multiple disciplines including machine learning, law, psychology and policy. The appointment will be for up to 3 years. It is an exciting opportunity for a talented individual to make a major contribution to the development of this field.

CFI is a new, highly interdisciplinary research centre addressing the challenges and opportunities posed by AI. Funded by the Leverhulme Trust, CFI is based at the University of Cambridge, with partners in the University of Oxford, Imperial College, and UC Berkeley, and has close links with industry and policymakers.

This is a new post within CFI's Trust and Transparency project. This project, led by Dr Adrian Weller and Professor Zoubin Ghahramani, and involving partners at Imperial College and DeepMind, examines technical, legal and social mechanisms for ensuring AI systems are appropriately transparent and trustworthy. Its strands include:

(i) Transparency: studies ways to make interpretable the reasons for an AI's predictions or decisions. There is an emerging field of research studying these issues within machine learning, though the psychology of how humans understand systems is also important.

(ii) Trustworthiness: seeks to understand when humans tend to trust machines, and when they should - that is, what makes intelligent and autonomous systems appropriately trustworthy. This strand includes insights from machine learning, psychology, human computer interaction, anthropology and more.

(iii) Law and Governance: explores what policy instruments and standards can help ensure that AI systems are fair, appropriately transparent, trustworthy, interpretable, and respect privacy and human rights; what we mean by these concepts with regard to algorithms, and how should they be enforced.

Candidates should have expertise in one (or more) of these strands, e.g. machine learning or law, including a relevant PhD. If the appointee has a machine learning background, they could be offered a joint appointment with the Machine Learning Group, run by Prof Zoubin Ghahramani, in the Department of Engineering.

To apply online for this vacancy and to view further information about the role, please visit: This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

Please upload in the ‘Upload’ section of the online application (1) your CV; (2) a Covering Letter of no more than 1,500 words, outlining a proposed research direction, and explaining how your skills and proposal would contribute to this particular project, and CFI more broadly; and (3) a Sample of Writing of no more than 5,000 words that demonstrates your suitability for this project. Any additional documents which have not been requested will not be considered as part of your application.

Please direct any questions about this vacancy or application process to Susan Gowans

Please quote reference GO14410 on your application and any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has responsibility to ensure that all employees are eligible to live and work in the UK.

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:


South East England