The Research Group in Computational Linguistics at University of
Wolverhampton invites applications for a 3-year PhD studentships in the
area of translation technology. This PhD studentship is part of a
university investment which also includes the appointment of a senior
lecturer, a research fellow and another PhD student with the aim to
strengthen the existing research undertaken by members of the group in
this area. This bursary consists of a stipend towards living expenses
(£14,500 per year) and remission of fees.

We invite applications in the area of translation technology defined in
the broadest sense possible and ranging from advanced methods in
machine translation to other ways of involving technology in the
translation process. The proposals should focus on Natural Language
Processing techniques for translation memory systems and translation
tools in general. Given the current research interests of the group and
its focus on computational approaches, we would be interested in topics
including but not limited to:

– Enhancing retrieval and matching from translation memories with
linguistic information
– The use of deep learning (and in general, statistical) techniques in
translation memories
– (Machine) translation of user generated content
– The use of machine translation in cross-lingual applications
– Phraseology and computational treatment of multi-word expressions in
machine translation and translation memory systems
– Quality estimation for translation professionals

Other topics will be also considered as long as they align with the
interests of the group. The appointed student is expected to work on a
project that has a significant computational component. For this reason
we expect that the successful candidate will have good background in
computer science and programming.

The application deadline is 30 November 2017 and the interviews will
take place in the first half of December by Skype. The starting date of
the PhD position is 1st Jan 2018 or any time as soon as possible after


University of Wolverhampton


A successful applicant must have:

– A good honours degree or equivalent in Computational Linguistics,
Computer Science, Translation studies or Linguistics
– A strong programming and statistical / Mathematical background or
closely related areas
– Experience in Computational Linguistics / Natural Language
Processing, including at least some of the following Statistical
Processing, Machine Learning and Deep Learning, applications to Natural
Language Processing.
– Experience with translation technology
– Experience with programming languages such as Python, Java or R.

Language requirements:

– If not native speaker a IELTS certificate with a score of 6.5. If a
certificate is not available at the time of application, the successful
candidate must be able to obtain it within one month from the offer
being made.

Specific requirements:

Candidates from both UK/EU and non-EU can apply.

Educational level:


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