University of Cambridge 
Cambridge, United Kingdom İlan Özeti
The University of Cambridge invites applications for a fixed-term Postdoctoral Research Associate position at the Leverhulme Centre for the Future of Intelligence. This two-year role focuses on developing fundamental theory and methods for trustworthy AI, led by Professor Adrian Weller. Responsibilities include researching human-AI interaction, fairness, transparency, privacy, and robustness, while validating methods on real-world problems with domain experts. The successful candidate will publish results at leading venues in machine learning and AI ethics. Applicants must hold or be near completion of a PhD in Computer Science, Statistics, or a related field, demonstrating expertise in trustworthy AI areas and strong programming skills. The salary ranges from £37,694 to £46,049. Applications require a CV, covering letter, writing sample, and referee details. The closing date is November 8, 2026.
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Proje Açıklaması
The Leverhulme Centre for the Future of Intelligence (CFI) at the Institute for Technology and Humanity are inviting applications for a Postdoctoral Research Associate. This is an exciting opportunity to work within a research project in trustworthy AI, led by Professor Adrian Weller. This is a fixed-term post where funding is available for two years.
The research project investigates how to develop fundamental theory and methods that enable machine learning systems to be deployed in a trustworthy manner. The project spans human-AI interaction, fairness, transparency, privacy and other approaches to optimising deployed AI systems as human-machine teams. The postdoc will conduct research developing and evaluating methods at the frontier of trustworthy AI, validating them on real-world problems in partnership with domain experts and stakeholders, and publishing and presenting results at leading venues in machine learning (such as NeurIPS, ICML and ICLR), AI ethics and society (such as FAccT and AIES), as well as policy fora.
Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related field, with expertise in one or more areas of trustworthy AI, such as human-AI interaction, fairness, transparency and interpretability, privacy, or robustness. A strong understanding of machine learning methods, together with excellent mathematical and programming skills, is required.
CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Based at the University of Cambridge, the Centre has close links with industry, policymakers, and many academic disciplines.
The role holder will also be able to have a desk in the Machine Learning Group in Engineering.
In order for your application to be considered, please upload the following:
- Curriculum Vitae (CV)
- Covering Letter explaining your interest in and aptitude for the position
- Sample of professional writing
- Names and contact details of two referees who are familiar with your work
If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Informal enquiries about the role are welcomed and should be directed to Professor Adrian Weller at aw665@cam.ac.uk.
For questions on the application process, please contact the School's HR Team on sahhr@admin.cam.ac.uk.
The closing date for applications is midnight (GMT) on Sunday 08 November 2026. Interviews are planned for the second half of November, subject to change.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please quote reference GO51218 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
