Senior Research Associate in Trustworthy Machine Learning

Department of Engineering, Central Cambridge, Cambridge

University of Cambridge, Trinity Ln, Cambridge, UK


  • Posted on: 18th Feb 2021
  • Salary: £41,526-£52,559
  • REF: NM25759
  • Closes: 18th March 2021
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time

We are seeking a highly creative and motivated Senior Research Associate to join the Machine Learning Group in the Department of Engineering at the University of Cambridge, UK. The position will be part of a research programme on Trustworthy Machine Learning, working with Dr Adrian Weller, other members of the ML group (, and collaborators both within and outside the University including: Computer Science and Technology, Leverhulme Centre for the Future of Intelligence, Bennett Institute for Public Policy, ELLIS fellows, MIT, Chelsea and Westminster Hospital, and many more.

The goal of the programme is to develop new fundamental theory and methods to enable Machine Learning systems to be deployed in a trustworthy way, with a focus on technical approaches to advance fairness, interpretability and robustness. There is specific attention on applications in criminal justice and healthcare – both domains with urgent needs, high stake decisions and clear goals. Leading partners in each domain will ensure that we understand stakeholder requirements and facilitate impact. The programme is funded by EPSRC as a Turing AI Acceleration Fellowship.

Key responsibilities and duties include leading projects of technical research in fairness, interpretability and/or robustness, looking at specific applications in healthcare (preferred) or criminal justice; communicating effectively and coordinating with partners.

Additional responsibilities include planning and organising research resources and workshops.

Successful applicants will have a PhD in Computer Science, Information Engineering, Statistics or a related area, or equivalent experience, extensive research experience and a strong publication record in related areas, and demonstrate strong leadership potential.

Interviews are expected to happen remotely in March 2021. Applicants are encouraged to ensure that referees are able to submit their letters before such date.

This is an exciting opportunity to develop strong technical foundations while engaging with real-world practitioners, broader stakeholders and policy makers.

We welcome applications from underrepresented groups. The University is committed to diversity in appointments.

Salary Ranges: Senior Research Associate: £41,526 – £52,559

Fixed-term: The funds for this post are available for 36 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload a short Curriculum Vitae (CV) of approximately two pages, a publications list highlighting 3 most relevant publications, a two page research statement covering past research and future plans, and a brief covering letter highlighting your match to the role in the Upload section of the onlineapplication. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Dr Adrian Weller,, for queries of a technical nature about the role and Rachel Fogg,, for queries relating to the application process.

Please quote reference NM25759 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.
Further information

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