PhDApplications Closed

I-Chun Lin

UCL, London, UK

Position Details
Apply by Nov 11, 2025
PhD
UCL, London, UK

Application deadline

Nov 11, 2025

Job

Job location

Geocoding

UCL, London, UK

Quick Information

Application Deadline

Nov 11, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Job

Job location

Geocoding

UCL, London, UK

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Job Description

The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis.

Requirements

  • Applicants should have a strong analytical and mathematical background
  • a keen interest in neuroscience
  • and a relevant first degree (e.g.
  • in Computer Science
  • Cognitive Psychology
  • Engineering
  • Mathematics
  • Neuroscience
  • Physics
  • Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources.

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