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All Opportunities
University College London

Gatsby Computational Neuroscience and Machine Learning PhD.

PhDPhDFunded studentship2027 entryStudentshipApplications Open

Application Timing

Application9November2026 17:00GMT; references10November23:59GMT.

The Research Opportunity

Study theoretical neuroscience or machine learning through a four-year programme combining intensive first-year training with doctoral research. Students develop expertise in their principal field while engaging with the complementary discipline.

neurosciencemachine learningcomputer science

Gatsby Computational Neuroscience and Machine Learning

Consider how mathematical models, learning algorithms or neural data connect with the questions you want to investigate.

What the Funding Covers

All nationalities home/international tuition,£30,900 annual stipend at2026/27rate, conference travel. Future rate unconfirmed.

Home Tuition Fees
Covered by the Award
International Tuition Fees
Covered by the Award
Living-Cost Support
Stipend Provided
Annual Stipend
£30,900
Expected Start
09-2027

A course offer, a funding award and international fee coverage are separate decisions. Confirm the support that applies to your circumstances.

Entry Requirements and Eligibility

International Applicants
Conditions Apply — Read the Requirements
Published Requirements
A relevant first degree, strong analytical and mathematical preparation, and interest in neuroscience or machine learning. UCL standard admissions requirements and Level 3 English proficiency apply.

Before You Apply

  1. Submit through the Gatsby recruitment portal by 17:00 GMT.
  2. Arrange references early: the published reference deadline is 10 November 2026 at 23:59 GMT.

Official Sources

Official Opportunity Notice

Last checked 11-10-2026. Confirm current details with the university before applying.

Prepare Your Next Step

All Research Guides
Applications

Prepare for a PhD Interview

Prepare to explain your research interests, defend reasonable choices and discuss what you still need to learn. Use the invitation to establish the format before practising.

Read the Guide