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University Assistant Professor in Machine Learning

University of Cambridge
Cambridge
2 weeks ago
Applications closed

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University Assistant Professor in Machine Learning

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University Assistant Professor in Machine Learning

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Join to apply for the University Assistant Professor in Machine Learning role at University of Cambridge

Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following areas: machine learning, decision making, and theory and practice of deep learning.

We encourage applicants who will strengthen our current research activities in probabilistic machine learning, reinforcement learning, supervised and unsupervised learning, active learning, and all aspects of machine intelligence. We welcome applicants with an interest in applications of machine learning to engineering and the sciences and who can make contributions to fundamental aspects of machine learning.

This position has been funded in part by a generous contribution from Toyota Motor Corporation. The successful applicant will have the opportunity and resources to work with Toyota on rich real-world data modelling, prediction, and decision-making problems. We will give priority to candidates who are well placed to do this.

The candidate will contribute to the Division's teaching activities including those associated with the Machine Learning and Machine Intelligence MPhil programme and the teaching of Information Engineering to undergraduate students.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.

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

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;
  • Cover letter.

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 Monday 22 September 2025. If you have any questions about the application process, please contact the HR Office (, +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. Short-listed candidates will be invited to visit the Department, give a short seminar/lecture and attend a formal interview. The selection process will take place on 4 and 5 November 2025.

Informal enquiries may be made to Prof. Carl Edward Rasmussen () and Prof. Richard E. Turner ().

Please quote reference NM44215 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

  • Further Particulars

Apply onlineSeniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionEducation and Training
  • IndustriesResearch Services

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