[Corpora-List] Research Associate in Natural Language Processing and Machine Learning

[Trevor Cohn]

*Research Associate in Natural Language Processing and Machine Learning
*
*Faculty of Engineering
*
*University of Sheffield - Department of Computer Science
*
*Job Reference Number: *UOS003396

*Contract Type:*  Fixed-term for up to 36 months

*Salary:* Grade 7 £28,251 - £35,788  per annum.

*Closing Date:* 3 November 2011
*
Further details and online application:* http://jobs.ac.uk/job/ADI311/

*Summary:*

The objective of this research project is to develop new machine learning
techniques for predictive modelling of financial and political indices using
text from social media sources (e.g., Twitter, Facebook and blogs). The
project will develop algorithms for modelling the correlations between
streaming social media data and the movement of various indices, viewed as a
time-series. This problem presents unique challenges, both in terms of
learning algorithms and in terms of efficient development for deployment in
a real-time setting.

The appointee will work on the machine learning components of the project,
namely developing new statistical models for our time-series data, and
associated algorithms for training and prediction. The appointee will be
responsible for developing new efficient algorithms for Bayesian inference.
A central focus of the role will be developing fast online algorithms
suitable for real-time application. The role will require strong programming
skills, particularly for cluster and cloud computing infrastructure (e.g.,
MapReduce, Amazon EC2) or GPU computing (e.g., CUDA).

This is an opportunity to work in a well-connected international team with
world-leading reputations in both the Natural Language Processing (NLP) and
Machine Learning (ML) research groups at The University of Sheffield. The
NLP group is well known internationally for its research, and is one of the
largest research groups in computational linguistics and text engineering in
the UK. The ML group is also very well respected, with expertise in
fundamental machine learning and a range of application domains.

Candidates must have a PhD and a strong publication record in a relevant
discipline. Solid knowledge of machine learning and natural language
processing is required, as is excellent programming ability. The candidate
should also have experience in one or more of the following areas:
time-series modelling, dimensionality reduction/clustering, statistical
machine translation, probabilistic graphical models, Markov Chain Monte
Carlo and reinforcement learning.

This post is fixed-term for up to 36 months.

-- 
Dr Trevor Cohn
Lecturer, Dept of Computer Science
University of Sheffield
http://www.dcs.shef.ac.uk/~tcohn
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