HomeScholarshipsFully Funded ScholarshipsUCL Foundational AI PhD Studentship 2027: Excellent £23.8K

UCL Foundational AI PhD Studentship 2027: Excellent £23.8K

The UCL Foundational AI PhD Studentship is a four-year funded doctoral opportunity at University College London for research in foundational artificial intelligence. The project covers areas including reinforcement learning, intelligent data acquisition, generative and foundation models, and applications in engineering and scientific discovery. The precise topic will be developed with the successful candidate.

Funding covers Home UK tuition fees and provides a £23,805 annual stipend at the published 2026/27 rate, with the stipend increasing with inflation. The position has no fixed closing date and remains open until UCL finds a suitable candidate. Interested applicants are encouraged to apply while the official vacancy remains active.

UCL Foundational AI PhD Studentship Details

The research is based in UCL Electronic and Electrical Engineering and is supervised by Dr Sattar Vakili. The precise research topic is developed jointly with the successful student within the broader foundational-AI themes.

The project is expected to combine rigorous mathematical development with computational experiments. UCL describes the position as full-time study lasting four years.

Studentship

UCL funded foundational-AI PhD

University

University College London

Duration

4 years

Funding

Home UK tuition fees

Stipend

£23,805 per year for 2026/27

Research area

Foundational AI and machine learning

Deadline

No fixed date; open until filled


Stay Updated with Guidance Gem

Follow Guidance Gem for new scholarships, internships, fellowships and application updates.

Benefits and Funding

The studentship provides four years of doctoral funding and a living-cost stipend that rises with inflation. For an eligible Home UK student, the tuition-fee coverage removes the main direct cost of the PhD.

The project also offers close supervision within a research-intensive engineering department and allows the successful candidate to shape the exact topic around foundational machine learning and sequential decision-making.

Also Check: compare another funded UK research option in our Imperial College President’s PhD Scholarships guide.

Related opportunity: Applicants comparing another current scholarship can review Commonwealth PhD Scholarships and compare its eligibility, funding and application timeline with this opportunity.

Eligibility Criteria

Applicants should hold a UK master’s degree or at least an upper-second-class bachelor’s degree, or an equivalent international qualification, in computer science, electronic engineering, mathematics, statistics or a related discipline.

A strong mathematical and analytical background is required, together with interest in foundational machine-learning research and programming experience, preferably using Python and modern machine-learning frameworks.

Also explore: For another published Guidance Gem option in a related area, see Brunel CSC PhD Scholarship and compare its eligibility, funding and application timeline with this opportunity.

Requirements and Required Documents

Before applying, candidates may send Dr Sattar Vakili a CV, academic transcripts and a brief one-page statement describing research interests and suitability. A research paper, thesis or other writing sample can also be included optionally.

The formal application must satisfy the entry requirements of the relevant UCL EEE PhD programme. Applicants should mark the submission to the attention of Dr Sattar Vakili.

How to Apply for the UCL Foundational AI PhD Studentship

Applications are submitted through UCL’s official postgraduate application system. Interested candidates can first contact the supervisor with the recommended research materials to discuss fit.

Because the position is open until filled, there is no benefit in waiting for a calendar deadline. Candidates should prepare the formal application while the official studentship page still states that the role is available.

  • Read the official funded studentship page and confirm that your academic background matches the project.
  • Prepare your CV, academic transcripts and one-page research-interest statement.
  • Optionally contact Dr Sattar Vakili with the pre-application materials listed by UCL.
  • Complete the UCL postgraduate application form and mark it to the attention of Dr Sattar Vakili.
  • Submit while the position remains open and monitor UCL communications for interview updates.

Application Deadline

The UCL Foundational AI PhD Studentship has no fixed closing date. UCL states that the opportunity will remain open until a suitable candidate is found.

Applicants should therefore use the live official page as the availability signal. Once UCL removes or closes the position, an old third-party listing should not be treated as open.

Frequently Asked Questions

This studentship has a different deadline model from most scholarships because UCL is recruiting until it identifies a suitable candidate. Funding terms are also specific to the Home UK tuition category.

The answers below summarize the official UCL vacancy as currently published.

How long does the PhD last?

The funded studentship is advertised as four years full time.

How much is the stipend?

UCL lists £23,805 per year for 2026/27, increasing with inflation.

When does the position close?

There is no fixed date; UCL says the position remains open until a suitable candidate is found.

Conclusion

The UCL Foundational AI PhD Studentship is a strong research opportunity for mathematically prepared applicants interested in core machine learning and sequential decision-making.

Candidates who meet the academic profile should prepare the research statement and formal UCL application promptly because the position can close as soon as a suitable researcher is selected.

Guidance Gem
Guidance Gemhttps://guidancegem.com/
Guidance Gem helps students and professionals discover scholarships, internships, fellowships, study programs, results, and other educational opportunities. We publish clear guides on eligibility, benefits, deadlines, required documents, and application steps, with links to official sources whenever possible.
Related Opportunities

Scholarships by Countries

Stay Connected

0FansLike
0FollowersFollow
0FollowersFollow

Latest Articles