University Assistant/Associate Professor in Artificial Intelligence and Machine Learning
Overview
The University of Cambridge is seeking a faculty member at the Assistant Professor or Associate Professor level to join the Department of Computer Science and Technology. The appointee will contribute to research and teaching in the fields of artificial intelligence and machine learning. This permanent position requires working on site in the United Kingdom.
Who can apply
Candidates must have outstanding research credentials in fundamental machine learning, an independent research agenda, a strong publication record, international visibility, and documented evidence of community service and impact appropriate for their career stage. Applicants need to show the ability to secure research funding and build a research team. Teaching experience is essential, and the successful candidate must be able to supervise research at both the Masters and PhD levels. Interdisciplinary researchers who can collaborate across computer science subdisciplines and with other academic fields are encouraged to apply.
What you get
The position offers a salary ranging from £63,606 to £67,468 per annum on a full-time, permanent contract. Department members receive support for developing research leadership, including administrative assistance across research management, funding, communications, finance, and recruitment.
Requirements
Applicants must submit all application documentation in PDF format. Required materials include a curriculum vitae with a complete list of publications, a research statement, one or two examples of representative research work or references included in the research statement, a teaching statement, and a cover letter. Candidates should quote reference NR49860 on their applications and correspondence.
How to apply
Applications must be submitted online through the employer system by selecting the apply option. Informal enquiries can be directed to Professor Robert Mullins.
Key dates
The closing date for applications is 15 December 2026. Interviews are scheduled to take place in Cambridge on 3 and 4 March 2027. The successful candidate is expected to join the department on 1 September 2027, or as soon as possible thereafter.