Job in Machine Translation: 2-year research position at Sheffield University
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Reza E.
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May 3, 2012, 7:06:46 AM5/3/12
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The Department of Computer Science has a position for a Research Associate in Machine Translation. The position is funded by the EU FP7 as part of the QTLaunchPad project, which will investigate how to measure and overcome quality barriers in Machine Translation (MT).
QTLaunchPad is a support action which aims at producing a better environment for large-scale collaborative research on high-quality MT, and preparing and launching a large international action dedicated to a scientifically and economically significant breakthrough in quality translation technology. Key to this project are the methodological and empirical foundations of research toward breaking the quality-barriers. As a partner in this project, the University of Sheffield will be primarily responsible for the Quality Estimation methods and software and its use for guiding MT, but will also contribute to the analysis of quality barriers and design of quality metrics.
At the University of Sheffield the project will be led by Dr Lucia Specia (http://www.dcs.shef.ac.uk/~lucia/). The research will build upon the group's leading research in statistical modelling of the quality estimation problem. It will employ a Research Associate for up to 24 months, available to start July 2012. The role will require the post holder to undertake research and software development on quality estimation, and to collaborate with other researchers working on the QTLaunchPad Project (Sheffield, DCU-Dublin, DFKI-Saarbrücken and ILSP-Athens).
This is an opportunity to work in a well-connected international team with world-leading reputations in the Natural Language Processing (NLP) research group 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. There are excellent opportunities for publications, project and conference trips. For suitably qualified candidates, possibilities exist to contribute to teaching, for example as part of an MSc in Computer Science with Speech and Language Processing.
Applicants should have:
- PhD (or equivalent work experience) in a related area - Experience in natural language processing - Acquaintance with Machine Translation - Programming experience, e.g., in C++ , Java, Perl/Python
Experience in machine learning, experience in evaluation of machine translation and multilingual background (English and especially one of the following languages of the Project: Portuguese, Greek, or German) are a plus.
Salary for this grade: £28,401 - £35,938 per annum with potential to progress to £37,012 per annum.