Research course

Gatsby Computational Neuroscience Unit

Institution
UCL - University College London · Gatsby Computational Neuroscience Unit
Qualifications
MPhil/PhD

Entry requirements

Applicants must have a strong analytical background, a keen interest in neuroscience or machine learning and a relevant first degree at a munimum of upper second-class UK Bachelor's level or an overseas equivalent, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Students seeking to combine work in neuroscience and machine learning are particularly encouraged to apply.

Months of entry

September

Course content

The Gatsby Unit is a world-class centre for theoretical neuroscience and machine learning. We provide a unique opportunity for a critical mass of theoreticians to interact closely with each other and with other world-class research groups across UCL. Teaching is supplemented with regular research talks, journal clubs and reading groups, extensive seminar programmes and participation in international conferences. As a student you will have ready access to all members of academic staff, not just your immediate supervisors. It is expected that most students will go on to postdoctoral positions in institutions across the world although some may take up posts in industry as senior research scientists or similar.

Research areas

  • Analysis of neural data
  • Neural dynamics
  • Perceptual processing of auditory and visual input
  • Population coding
  • Reinforcement learning
  • Statistical machine learning
  • Unsupervised learning

Qualification and course duration

MPhil/PhD

full time
48 months

Course contact details

Name
Administrative Assistant
Email
admissions@gatsby.ucl.ac.uk
Phone
+44 (0)20 7679 1176