Postdoctoral Research Associate in Trustworthy AI, Leverhulme Centre for the Future of Intelligence, Cambridge
Job Description
The Leverhulme Centre for the Future of Intelligence at Cambridge is hiring a Postdoctoral Research Associate in trustworthy AI, on a project led by Professor Adrian Weller. The salary is £37,694 to £46,049 a year and applications close on 8 November 2026.
At a glance
- Post: Postdoctoral Research Associate in Trustworthy AI
- Where: Leverhulme Centre for the Future of Intelligence, University of Cambridge
- Salary: £37,694 to £46,049 a year
- Reference: GO51218
- Apply by: 8 November 2026
Read the official University of Cambridge advertisement before you apply.
About the work
The project develops fundamental theory and methods that let machine learning systems be deployed in a trustworthy way. It spans human-AI interaction, fairness, transparency, privacy and other approaches to optimising deployed AI systems as human-machine teams.
You would develop and evaluate methods at the frontier of trustworthy AI, validate them on real-world problems in partnership with domain experts and stakeholders, and publish and present at leading venues in machine learning such as NeurIPS, ICML and ICLR, in AI ethics and society such as FAccT and AIES, and in policy settings.
Funding is available for two years. CFI is a highly interdisciplinary centre at Cambridge addressing the challenges and opportunities of artificial intelligence, with close links to industry.
What you need
- A PhD in computer science, information engineering, statistics, machine learning or a closely related field, completed or near completion
- Expertise in one or more areas of trustworthy AI: human-AI interaction, fairness, transparency and interpretability, privacy, or robustness
- A strong understanding of machine learning methods, with excellent mathematical and programming skills
Pay
The advertised range is £37,694 to £46,049 a year. This is a fixed-term post.
How to apply
Apply online through the Cambridge job page. Click Apply, register an account with the University’s recruitment system if you do not have one, and complete the form. Quote reference GO51218 on your application and in any correspondence about the vacancy. You will normally be asked for a CV and the contact details of academic referees, so line those up before you start.
One thing to check first. The University states that it has a responsibility to ensure all employees are eligible to live and work in the UK. If you are applying from outside the UK, read the visa position for this post before you spend time on the application.
Browse more research jobs on ResearchJobs.in, or search our Find a supervisor page.
Hiring institution: University of Cambridge
Official advertisement: www.jobs.cam.ac.uk
How to prepare for this application
- Pick your corner of trustworthy AI. Fairness, interpretability, privacy and robustness are different literatures; depth in one beats a tour of all.
- Publication venue matters here. The advert names NeurIPS, ICML, ICLR, FAccT and AIES, so list what you have at those.
- Real-world validation is part of the job. Mention any work done with domain experts or deployed systems.
- Quote the reference, GO51218. Cambridge asks for it on the form and in every email about the post.
- Line up your referees early. Cambridge contacts them during selection, so tell them before you apply.
- Check your right to work in the UK. Every Cambridge advert carries this condition, and it is the usual reason an overseas application stalls.
About the University of Cambridge
The University of Cambridge was founded in 1209 and is one of the world's leading research universities. Its research posts are advertised centrally at jobs.cam.ac.uk, with each department running its own selection.
