Closing Soon - PhD Programme in Theoretical Neuroscience and Machine Learning

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I-Chun Lin

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Nov 8, 2022, 5:11:09 PM11/8/22
to Systems Neuroscience

Apply now for 2023 entry to the 4-Year Gatsby Unit PhD Programme!  www.ucl.ac.uk/gatsby/study-and-work/phd-programme

Deadline: 13 November 2022

The Gatsby Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing.

Our PhD programme provides a rigorous preparation for a research career. 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. Students are encouraged to work and interact closely with researchers in the vibrant UCL scientific community to take advantage of this uniquely multidisciplinary research environment.

Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology.

Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources.

Applications should be submitted directly to us via our online portal. For more information and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme

* Information on our research: www.ucl.ac.uk/gatsby/research-0
* Read more about our faculty members: www.ucl.ac.uk/gatsby/people

 

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I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
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