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Research Fellow (Training Fellow in Theoretical Neuroscience or Machine Learning)

UCL - UCL Gatsby Computational Neuroscience Unit

Location: London
Salary: £35,965 to £43,470 per annum (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 30th June 2020
Closes: 16th August 2020
Job Ref: 1869124

The Gatsby Computational Neuroscience Unit invites applications for postdoctoral training fellowships. Funded by the Gatsby Foundation the Unit is a world-leading centre for research in theoretical neuroscience and machine learning. For details of our research please see

Successful applicants will carry out original research under the guidance of a member of faculty.  Primary projects will align with the current themes of research listed below, with scope for further independent projects where mutually agreed to be of value for the Fellows’ training and career development.

Research themes (and associated faculty mentors) for which Training Fellowships are currently available are:

  • Generative models (implicit, energy-based, flows...), causal modelling (e.g. detecting and correcting for hidden confounders), nonparametric hypothesis testing (Arthur Gretton).
  • Algorithms and mechanisms of inference and planning under uncertainty in neural systems; Statistical and machine-learning approaches to analysis and interpretation of population neural data (Maneesh Sahani).
  • Learning and inference in neural systems, using normative, typically Bayesian, approaches, but also making use of recent advances in Deep Learning (Peter Latham).
  • Bayesian non-parametric methods, Bayesian inference, variational inference (Peter Orbanz).
  • Network analysis. This involves a range of problems and methods: Network models and learning algorithms, random graphs, mathematical statistics of dependent random variables, and applications of probabilistic symmetries in machine learning and statistics (Peter Orbanz).

Research Fellows will be responsible for the primary execution of research projects (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. Collaboration within and outside the Unit is actively encouraged and supported by a generous travel allowance.

The post is funded for two years in the first instance.

Candidates will be required to demonstrate a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences; and must hold a PhD in a relevant field by the agreed start date of the position.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

Please direct academic enquiries to the appropriate faculty mentor: Prof. Arthur Gretton (, Prof. Peter Latham (, Dr. Peter Orbanz ( or Prof. Maneesh Sahani (

For other enquiries please contact Mike Sainsbury (

Please attach to your online application, your CV and a statement of research interests clearly specifying the research theme(s) and faculty mentor(s) of interest (highlighting relevant experience), and contact details (including email addresses) for three academic referees. CVs should include: education history, details of current or most recent position and details of previous employment including any career breaks or fellowships.

Latest time for the submission of applications: 23:59.

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department.

To apply click here

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