Postdoc Position in NLP and Machine Learning at the University College London

POSTDOCTORAL RESEARCHER IN NLP & MACHINE LEARNING

Computer Science Department
University College London
Application closing date: 24 Jun 2013

# Position

Applications are invited for the position of a Postdoctoral Research
Associate in Natural Language Processing and Machine Learning to work
with Dr Sebastian Riedel (UCL Computer Science). The post is part of a
collaboration between UCL and the BBC and will focus on the extraction
of structured information from unstructured text (including sources
such as BBC News or the BBC world service archive). An emphasis will
be weakly supervised and unsupervised machine reading (MR) with
millions of relation types / templates. We will develop probabilistic
models of large scale MR that connect meaning to text, investigate
scalable inference and learning in such models, and consider novel
applications in the intersection of machine reading and (BBC) media.

The associate will be part of the UCL Machine Reading lab and
affiliated with the Centre for Computational Statistics and Machine
Learning, a world leading institute bringing together the Computer
Science department, Gatsby Unit and Statistics department. The lab is
located on the UCL Bloomsbury Campus in the centre of London.

# Key Requirements

Applicants must have a PhD degree in computer science or related
areas, and a strong background in NLP and machine learning.  Research
experience is desirable in one or more of: information extraction,
graphical models, matrix factorisation, multi-task learning, Bayesian
nonparametrics.

# Further Details

The ideal starting date would be August 2013, but later dates may be
possible in exceptional circumstances. Funding for this position is
initially available for 2 years.

Informal enquiries may be addressed to Dr Sebastian Riedel, tel: ++44
20 7679 0442, email: s.riedel@cs.ucl.ac.uk. For questions about the
application process please contact Miss Dee Patel via email on
dee.patel@ucl.ac.uk.

For more information, and to apply, please visit

https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1335061