PhD positions in Advanced Machine Learning at Cambridge

[José Miguel Hernández Lobato]

The Machine Learning Group at the University of Cambridge is looking for exceptional students for its PhD programme in Advanced Machine Learning.

The Cambridge Machine Learning Group (http://mlg.eng.cam.ac.uk) is internationally renowned, comprising about 40 researchers, including Zoubin Ghahramani, Carl Edward Rasmussen, Rich Turner, Jose Miguel Hernandez Lobato, Adrian Weller, Hong Ge, Miri Zilka and Ayush Tewari.

We encourage applications from outstanding candidates with a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk

Applicants should hold (or be expected to hold) a degree in Information Engineering, Electrical Engineering, Statistics, Physics, or Computer Science preferably with 1st class honours (or equivalent). Some practical experience of machine learning or statistics would be strongly preferred (e.g. coursework assignments or research).

Application deadline: December 2, 2025.

Details about the application process can be found here:

https://mlg.eng.cam.ac.uk/phd_programme_in_advanced_machine_learning

Applicants must formally apply through the Applicant Portal at the University of Cambridge

https://www.postgraduate.study.cam.ac.uk/apply

indicating “PhD in Engineering” as the course (supervisor Hernandez-Lobato, Rasmussen, Turner, Ge, Weller, Zilka and/or Tewari, choosing multiple possible supervisors is possible). Applicants should apply for University funding and need to reply ‘Yes’ to the question ‘Apply for Cambridge Scholarships’. See http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/deadlines.html for details. Note that applications will not be complete until all the required material has been uploaded (including reference letters) and we will not be able to see any application until that happens.

Best Wishes, Miguel.