Gatsby Computational Neuroscience Unit


PhD Programme

Gatsby PhD in Computational and Theoretical Neuroscience and Machine Learning.

The PhD programme lasts four years, including the first year of intensive instruction in techniques and research in theoretical and systems neuroscience and machine learning. Courses in the first year, taught in conjunction with colleagues from the SWC and CSML, provide a comprehensive introduction to theoretical and systems neuroscience and to machine learning; with further multidisciplinary training in other areas of neuroscience also available. Students are encouraged to work and interact closely with peers and faculty in the SWC and CSML throughout their PhD, providing a uniquely multidisciplinary research environment. Projects involving collaboration within or outside UCL are welcome. For more information see our programme structure

Students at the Gatsby Unit study toward a PhD in either machine learning or computational and theoretical neuroscience, with minor emphasis in the complementary field. Exceptionally, some students with pre-secured shorter-term studentships have joined us to study for an MPhil degree in one of these fields. Besides these Gatsby-funded programmes, students from other PhD programmes are also able to carry out all or part of their research in Unit. We do not offer undergraduate or taught masters programmes, nor a research masters, however students in some UCL Masters programmes may carry out projects in the Unit.

Applicants to the Gatsby PhD programme should have a strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics.

Full funding is available to all students, regardless of nationality. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend, presently £24,000 per annum. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships.


Applications for 2023 entry will open in autumn 2022.