Research Associate (Training Fellowship – Machine Learning) Opening at Gatsby Unit, UCL

Research Associate (Training Fellowship – Machine Learning) – Ref:1179724

Gatsby Computational Neuroscience Unit, UCL

Grade: 7
Hours: Full Time
Salary (inclusive of London allowance): £34,604 –£38,594 per annum
Closing Date: 8 Apr 2011
Latest time for the submission of applications: 12 noon.
Interview date: 6th May, 2011

Duties and Responsibilities

The Gatsby Computational Neuroscience Unit invites applications for a training fellowship in machine learning and related areas. The Unit is especially keen to recruit researchers with expertise in probabilistic and Bayesian modelling, time series modelling, reinforcement learning and control.

The Unit is a world-class centre for theoretical neuroscience and machine learning. The Unit has significant interests across a range of areas in machine learning, including unsupervised learning, reinforcement learning, Bayesian modeling, statistical theory, nonparametric methods, kernel methods, optimization, and applications to neuroscience, linguistics, vision and bioinformatics. Machine learning research at the Gatsby Unit is led by Yee Whye Teh and Arthur Gretton.

For further details of our research please see:

The Unit provides a unique environment in which a critical mass of researchers interact closely with each other and with other world-class research groups in related departments at UCL. A cross-faculty Centre for Computational Statistics and Machine Learning opened at UCL in 2006, currently directed by Mark Girolami and spanning the departments of Computer Science, Statistical Science and the Gatsby Unit. The Unit’s visitor and seminar programmes enable staff and students to engage with leading researchers from across the world.

Training fellowships that are funded by the Gatsby Charitable Foundation are part of a continuing program of training postdoctoral researchers in the discipline. The position is available for an initial period of between one and two years. Due to the joint funding arrangement of this training fellowship, the post may be funded up to a maximum of four years subject to the requirements of the project.

Key Requirements

Candidates must have a PhD in a relevant subject area by the agreed start date of the position, and possess strong analytical and computational background with demonstrable interest and expertise in machine learning.

Further Details:

Click on ‘Further Information’ at bottom of webpage for a full Job Description and Person Specification.
To apply for the vacancy, please click on the ‘Apply Now’ button on the webpage given above.

If you have any enquiries regarding the vacancy please contact ywteh(at) For queries relating to the application process, please contact asstadmin(at)

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

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