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University of Cambridge Fully Funded PhD in Advanced Machine Learning
Merit Based
Fellowship
United Kingdom
Provided by University of Cambridge
Eligibility Criteria
- Outstanding academic record, typically among the top students at their institution
- Strong background in mathematics
- Research experience in statistical machine learning
- Relevant undergraduate or master's degree in Engineering, Physics, Computer Science, Mathematics, or related fields
- For international applicants, early application is crucial for funding consideration
- Applicants should apply for funding sources such as "Cambridge Trusts," "Gates Cambridge," and "Other Research Councils"
Application Process
- Submit an application through the University of Cambridge Graduate Admissions portal
- For the Cambridge–Tübingen Fellowship, download the completed application before submission and email it to camtue@is.mpg.de with the subject line "Cambridge-Tuebingen PhD fellowship"
- Ensure to apply before the funding deadlines: 10 October for US students and 1 December for others
- For the Cambridge–Tübingen Fellowship, the hard deadline is 15 November 2025 (CET)
- Documents Required:
- Curriculum Vitae (CV)
- Motivation letter
- Bachelor's and Master's transcripts
- Two reference letters
- For the Cambridge–Tübingen Fellowship, these documents should also be sent to camtue@is.mpg.de
Scholarship Benefits
- Funding Coverage:
- Full tuition fees.
- Living expenses.
- Travel expenses between Cambridge and Tübingen (for joint program participants).
- Duration of Funding:
- 3–4 years for the standard PhD program.
- 4 years for the Cambridge–Tübingen joint program.
- Extra Benefits:
- Joint supervision and collaboration opportunities with leading researchers at the Max Planck Institute for Intelligent Systems.
- Access to a vibrant research community and resources at both institutions.
- Participation in seminars, workshops, and conferences.
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Fields of Study
Machine Learning, Mathematics, Physics, Computer Science
Coverage
Full Tuition Waiver + Other Expenses
Deadline
Program Deadline Applies
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Scholarship Details
TypeMerit Based
FundingFellowship
CountryUnited Kingdom
Universities
University of Cambridge