Offer 170 · PhD

Statistics and Machine Learning (EPSRC CDT)

StatML EPSRC Centre for Doctoral Training (Imperial College London and University of Oxford) · United Kingdom

Obsidian black EduCut Connect card for the PhD programme "Statistics and Machine Learning (EPSRC CDT)" at the StatML EPSRC Centre for Doctoral Training (Imperial College London and University of Oxford), United Kingdom, with an application deadline of 6 Jan 2027. The photo shows the Elizabeth Tower (Big Ben) and the Palace of Westminster beside Westminster Bridge over the River Thames in London.

Deadline 6 January 2027 (Europe/London)Deadline 6 January 2027 (Europe/London)

In short

StatML, the EPSRC Centre for Doctoral Training run by Imperial College London and the University of Oxford, is a four-year, cohort-based PhD programme in statistics and machine learning in the United Kingdom. Only fully funded places are offered, and applications for 2027 entry close on 6 January 2027 at 12:00 UK time.

  • First-class or strong upper second-class degree in mathematics, statistics, physics, computer science, engineering or a closely related subject.
  • Successful applicants usually also have a master's degree or research experience.
  • Most studentships are for home-fee students, with a limited number for overseas applicants; self-funded applications are not accepted.
  • Part-time study is possible; Imperial applicants use course code G1703.1.
  • Deadline: 6 January 2027 (Europe/London). Likely open: confirm dates and requirements on the official page before applying.
Institution
StatML EPSRC Centre for Doctoral Training (Imperial College London and University of Oxford)
Location
United Kingdom · Onsite
Type
PhD
Field
Statistics, machine learning
Level
PhD
Deadline
6 January 2027 (Europe/London)

EduCut AI is not the employer, recruiter or a partner of StatML EPSRC Centre for Doctoral Training (Imperial College London and University of Oxford). Details are taken from the official page; check them there before applying. EduCut AI courses build skills and do not guarantee selection.