*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:
http://www.gatsby.ucl.ac.uk/research

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:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1179724

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
yw...@gatsby.ucl.ac.uk.  For queries relating to the application process,
please contact asstad...@gatsby.ucl.ac.uk

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

*UCL Taking Action for Equality
*
UCL Terms and Conditions related to this job:
http://www.ucl.ac.uk/hr/salary_scales/Support_Research_tcs.php
Employee benefits that we offer:
http://www.ucl.ac.uk/hr/benefits/employee_benefits.php
and further information about UCL:
http://www.ucl.ac.uk/hr/docs/download_forms/recruitment_selection_N.doc

Further particulars:
https://filesv7.wcn.co.uk/admin/fairs/apptrack/download.cgi?SID=b3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZkb2NfdHlwZT12YWMmZG9jX2lkPTYxMjkzJnZlcmlmeT1kOTYzMGI4MGIxOGRlZDE1MDdmYzZhZmY1MmI1MGZjOSZ1cmxfa2V5PTI3MjQyNzI2M2YyMzIwMmIyYjIwMjEyYTIwMjMyYTNmNzE3MDc0NzMyMjJiNzAyNzJhMjUyMzJiNzcyNTc0MjEyMzI0NzEyMDc3NzQ3NDc3NzMyMTcxMjEyYjJhMjQyMTI3MjY3NjI1MjUyYTcwNzExMg==



-- 
Yee Whye Teh, Ph.D.                                        +44 20 7679 1199
Lecturer, Gatsby Computational Neuroscience Unit, University College London
yw...@gatsby.ucl.ac.uk                   http://www.gatsby.ucl.ac.uk/~ywteh
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

Reply via email to