University Assistant Professor in Responsible Machine Learning

Applications are invited for a University Assistant Professor in the area of ethical and trustworthy use of machine learning. This is a joint post between the Department of Engineering and the Institute for Technology and Humanity. The successful candidate will join the Department of Engineering's Information Engineering Division and the Institute for Technology and Humanity's Leverhulme Centre for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic fairness, explainability and interpretability.

We encourage applicants who will enhance the ongoing research activities in the Information Engineering Division and CFI and can effectively leverage the complementary strengths of both sites to pursue a collaborative and interdisciplinary research agenda. 

The candidate will contribute to the teaching activities at both the Department of Engineering and CFI. In particular, the candidate will be closely involved in teaching for the MPhil in Machine Learning and Machine Intelligence at the Department of Engineering and the Master's programmes in AI ethics at CFI.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

In addition to this, please ensure that you upload the application documentation as follows:

• Curriculum Vitae (CV);
• A full publications list, highlighting up to 5 publications you regard as most significant;
• Statement (no more than two pages in total) covering professional, teaching and research experience and describing your future research plans;
• a writing sample (an article- or chapter-length piece- maximum 10,000 words).

If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Wednesday 16 July 2025  If you have any questions about the application process, please contact the HR Office (hr-office@eng.cam.ac.uk, +44 (0) 1223 332615).

The interviewing panel will meet soon after the closing date in order to produce a short-list; references may be solicited. Interviews are expected to take place during late August/September 2025. Short-listed candidates will be invited to visit the Department of Engineering and Institute for Technology and Humanity, give a short seminar/lecture, and attend a formal interview.

Informal enquiries may be made to div-f@eng.cam.ac.uk and/or Administrator@lcfi.cam.ac.uk

Please quote reference NM46267 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.

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