Postdoc in NLP and Machine Learning at the University College London

=============
POSTDOCTORAL RESEARCH ASSOCIATE in Statistical Natural Language Processing
and Machine Learning
Computer Science Department
University College London
Application Closing Date: 5 Dec 2015

Position:
======
Applications are invited for a postdoctoral Research Associate in
Statistical Natural Language Processing and Machine Learning to work with
Dr. Sebastian Riedel (UCL Computer Science) and Dr. Paul Groth (Elsevier
Labs) to develop novel methods and models to extract knowledge from
scientific articles.

The project will focus on enabling machines to answer questions such as
“what are methods for problem X”, or “what datasets exist for task Y”, by
teaching them to read scientific articles. To this end we will be
investigating factorization approaches, deep learning and the intersection
of neural and symbolic reasoning.  This is a collaborative project with
Elsevier who will provide data and expertise.

The associate will be part of the UCL Machine Reading lab (mr.cs.ucl.ac.uk)
in the Computer Science department—the top-ranked CS department in the UK
according to the REF2014 assessment. The machine reading lab consists of 10
researchers in the intersection of NLP and machine learning, and is also
affiliated with the Centre for Computational Statistics and Machine
Learning that brings together CS, the Gatsby unit and the Statistics
department. He or she will be physically located on the UCL Bloomsbury
campus in the heart of London. Several close links to relevant industry in
London exists (Elsevier, BBC, Google, Microsoft, Google Deepmind), as well
as to the vibrant academic NLP scene in the South England Area.

The post is funded for two years initially.

Key Requirements:
==============
The Research Associate is expected to have a PhD degree and top-tier
peer-reviewed publications in statistical natural language processing
and/or machine learning. We are particularly looking for experience in
information extraction, factorization methods and deep learning. The
candidate is also expected to be capable of working under limited
supervision, have strong communication and coding skills, and to work in a
team.

If you have any queries regarding the vacancy or the application process,
please contact Dr Sebastian Riedel, tel: ++44 20 3549 5254, email:
s.riedel@cs.ucl.ac.uk.

For more details, and to apply, please visit

http://tinyurl.com/ngp5goc