Postdoctoral Research Associate (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 38,000 - 49,000; Full time

Job summary

The Leverhulme Centre for the Future of Intelligence at the University of Cambridge invites applications for a Postdoctoral Research Associate in trustworthy AI, funded for two years. You will develop and evaluate methods at the frontier of trustworthy AI, validating them with domain experts and publishing results at leading venues.

Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a related field, with

Qualifications

• PhD completed or near completion in CS/ML or related field.
• Expertise in trustworthy AI areas such as fairness, transparency, interpretability, privacy or robustness.
• Strong understanding of ML methods and excellent mathematical and programming skills.

Responsibilities

• Develop and evaluate trustworthy AI methods on real-world problems with domain experts.
• Conduct rigorous experiments and publish results at leading ML venues.
• Present findings to academic and policy audiences.

Skills

Human-AI interaction

Fairness

Transparency

Privacy

Robustness

Machine learning methods

Education

PhD in Computer Science or closely related field

Tools

Python

TensorFlow

PyTorch

Job description

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.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 positionSample of professional writingNames and contact details of two referees who are familiar with your workIf 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 [e-mail] questions on the application process, please contact the School's HR Team on [e-mail] closing date for applications is midnight (GMT) on Sunday 08 November 2026. Interviews are planned for the second half of November, subject to change.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.Apply online