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PhD Position in Statistical Machine Translation, University of London, UK

The Department of Computer Science at Queen Mary, University of London has a fully funded PhD position in the area of Statistical Machine Translation.

The PhD position is in the MataHari project (Machine Translation with Harvested Internet Resources) which focuses on utilizing Internet resources to learn statistical translation models for translating from a number of foreign languages into English. More information on the MataHari project can be found at:
http://www.dcs.qmul.ac.uk/~christof/html/projects.html

The starting date of the PhD position is Spring 2008 or earlier.

The successful candidate will be based in the information retrieval group. Queen Mary's information retrieval group(http://ir.dcs.qmul.ac.uk) is actively pursuing a variety of research initiatives, covering areas such as cross-language retrieval, machine
translation, structured document retrieval, natural language processing, and large-scale probabilistic reasoning.

Applicants must have a strong background in Computing Science and/or closely related areas. Appropriate academic backgrounds includeComputational Linguistics, Engineering, Mathematics, Statistics, all with a strong emphasis on Computing Science. A successful candidate should:

* have a good knowledge of programming in at least one of the followinglanguages: C, C++, Java, Python, or Perl.

* enjoy working with large, real-world data sets
* be interested in working on language-related research problems

Knowledge of any of the foreign languages addressed in this project is not a requirement for this position.

The studentship includes the tuition fees and a tax-free stipend of 14,600 GBP (approx. $30,100 or 20,900 EUR) per year for three years, plus some travel funding to attend international conferences.


Application

The application deadline is December 17, 2007, and applications received after that date may not receive full consideration.

To be fully considered, the application must include:

(1) the filled out application form, which can be found at:
http://www.qmul.ac.uk/postgraduate/apply/docs/pg_07.doc (Word)
http://www.qmul.ac.uk/postgraduate/apply/docs/pg_07.pdf (PDF)

(2) a curriculum vitae indicating degrees obtained, disciplinescovered (e.g. list of courses), publications, and other relevant experience.

(3) a one-to-two page statement of research interests, which shouldindicate what you see are interesting research issues relating tothe project and what relevant experience you have.

(4) two letters of recommendation, which must be received before thedeadline. The two letters must be sent separately by regular mailor by email to Sue White (see email and mail addresses below).

Electronic applications are encouraged and should be sent by email to Sue White: suew@dcs.qmul.ac.uk

In case an application can only be submitted by regular post, it should be sent to:

Sue White
Department of Computer Science
Queen Mary, University of London
Mile End Road
E1 4NS London, UK

For informal inquiries please contact Dr. Christof Monz (email: christof@dcs.qmul.ac.uk).
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