Fully Funded PhD in Advanced Machine Learning at University of Cambridge
The Cambridge Machine Learning Group (MLG) runs a PhD programme in Advanced Machine Learning. The supervisors are Jose Miguel Hernandez-Lobato, Carl Rasmussen, Richard E. Turner, Adrian Weller, Hong Ge and David Krueger. Zoubin Ghahramani is currently on academic leave and not accepting new students at this time.
We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and 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.
PhD in Machine Learning Program Requirements
PhD study at the University of Cambridge is intense and very intellectually demanding, so the University has high academic entry requirements. You are normally expected to hold or to have achieved by the start of your course:
1. Minimum of a good upper second class (good 2:1) honours degree from a UK university or an equivalent standard from an overseas university.
2. Completion of, or intermission from any current training or education course.
3. An ideal background is a top undergraduate or Masters degree in Mathematics, Physics, Computer Science, or Electrical Engineering. You should be both very strong mathematically and have an intuitive and practical grasp of computation. Successful applicants often have research experience in statistical machine learning. Shortlisted applicants are interviewed.
PhD Funding Coverage
There are a number of funding sources at Cambridge University for PhD students, including for international students. All our students receive partial or full funding for the full three years of the PhD. We do not give preference to “self-funded” students.
Application Requirement
1. Online application course directory
2. Academic Transcripts: Applicants should provide official transcripts of all previous academic qualifications, including undergraduate and postgraduate degrees.
3. Curriculum Vitae (CV): Applicants should provide a detailed CV outlining their academic and professional achievements, research experience, and publications.
4. Research Proposal: Applicants should provide a research proposal outlining their proposed research topic, research questions, methodology, and expected outcomes.
5. References: Applicants should provide at least two academic references from individuals who are familiar with their academic and research abilities.
6. English Language Proficiency: Applicants whose first language is not English may be required to provide evidence of their English language proficiency, such as a TOEFL or IELTS score.
Application Deadline
December 01, 2024
