PhDApplications Closed
Gatsby Computational Neuroscience Unit
London, UK
Position Details
Apply by Nov 13, 2023
PhD
London, UK
Application deadline
Nov 13, 2023
Job
Job location
London, UK
Quick Information
Application Deadline
Nov 13, 2023
Start Date
Flexible
Education Required
See description
Experience Level
—
Job
Job location
London, UK
Job Description
The Gatsby Computational Neuroscience Unit welcomes applications for its PhD Programme in Theoretical Neuroscience and Machine Learning (September 2024 entry).
Students complete a 4-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience, with multidisciplinary training in other areas of neuroscience also available. Students are encouraged to work and interact closely with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour as well as the Centre for Computational Statistics and Machine Learning to take full advantage of the multidisciplinary research environment.
PhD research topics can focus on (but not limited to): Graphical models, Kernel methods, Bayesian statistics, Reinforcement learning, Network and relational data, Neural data analysis, Neural representations, Computation and dynamics, Learning, Neural systems.
Full funding is available regardless of nationality and current residence.
Students complete a 4-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience, with multidisciplinary training in other areas of neuroscience also available. Students are encouraged to work and interact closely with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour as well as the Centre for Computational Statistics and Machine Learning to take full advantage of the multidisciplinary research environment.
PhD research topics can focus on (but not limited to): Graphical models, Kernel methods, Bayesian statistics, Reinforcement learning, Network and relational data, Neural data analysis, Neural representations, Computation and dynamics, Learning, Neural systems.
Full funding is available regardless of nationality and current residence.
Requirements
- 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.
Job
Job location
Coordinates pending.
London, UK
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