Gatsby Computational Neuroscience Unit MPhil/PhD

UCL (University College London)

The Gatsby Unit PhD programme combines theoretical neuroscience and machine learning. Our mathematical approach to developing novel algorithms and tools to understand learning, perception and action in the brain and machines is innovative. The Gatsby Unit is known for Computational and Theoretical Neuroscience and Machine Learning. Our research seeks to understand the principles of learning, perception and action in brains and machines by developing mathematical algorithms. We provide an excellent opportunity for a critical mass of theoreticians to interact closely with each other and with other UCL research groups, in particular the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) as well as the Centre for Computational Statistics and Machine Learning (CSML). Teaching is supplemented with regular research talks, journal clubs and reading groups, external seminar series and participation in relevant conferences and workshops. PhD students will be supported by all academic staff, not just their immediate supervisors. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning, and a first degree in relevant fields such as Computer Science, Engineering, Physics, Mathematics, Statistics, Neuroscience, or Cognitive Psychology. Many applicants to our programme will have a Master’s degree, but this is not essential. Each application is assessed on its individual merits. Candidates offered a place on our programme will be required to meet UCL's standard admissions requirements (including the English language proficiency requirements for international applicants).