Overview
The Gatsby Unit at University College London (UCL) invites applications for its PhD programme in Theoretical Neuroscience and Machine Learning for the 2026 academic year. This programme is notable for its interdisciplinary approach, merging neuroscience with machine learning, which is pivotal for advancing research in both fields.
Background & Relevance
The integration of neuroscience and machine learning is essential for understanding complex processes such as learning, perception, and action. This programme stands out as one of the original initiatives to foster collaboration among theoreticians in these areas, thereby enhancing the quality and impact of research. By training students in both theoretical and practical aspects, the Gatsby Unit positions itself at the forefront of innovation in AI and cognitive science.
Key Details
- Deadline for applications: 17:00 GMT, Monday, November 3, 2025
- Location: University College London (UCL)
- Focus areas: Theoretical neuroscience, machine learning, and their intersection
- Funding: Full funding available for all students, regardless of nationality
- Application portal: Gatsby Recruitment Portal
Eligibility & Participation
This programme is designed for individuals with a robust analytical and mathematical foundation, along with a strong interest in neuroscience, machine learning, or both. Ideal candidates should possess a relevant first degree in fields such as Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience, or Cognitive Psychology.
Submission or Application Guidelines
- Prepare your application materials, ensuring they highlight your analytical skills and relevant academic background.
- Submit your application directly through the Gatsby Recruitment Portal.
- Ensure submission before the deadline of November 3, 2025.
Additional Context / Real-World Relevance
The Gatsby Computational Neuroscience Unit is recognized as a leading research center in its field, focusing on various aspects of learning and cognition. The research conducted here has significant implications for understanding neural processes and developing advanced machine learning algorithms. The unit’s alumni have made substantial contributions to both academia and industry, with many holding influential positions in top tech companies.
Conclusion
This is an excellent opportunity for aspiring researchers to join a vibrant community at the intersection of neuroscience and machine learning. Interested candidates are encouraged to apply and contribute to groundbreaking research that shapes the future of AI and cognitive science.
Category: PhD & Postdoc Positions
Tags: neuroscience, machine learning, theoretical neuroscience, UCL, PhD programme, deep learning, reinforcement learning, cognitive psychology
