Job: Post-Doctoral Research Fellow in Natural Language Processing, University of Wolverhampton

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Sep 7 08:59:34 UTC 2013

Date: Tue, 3 Sep 2013 22:52:17 +0000
From: "Stajner, Sanja" <sanjastajner at>
Message-ID: <8D7E2A326D0D3549A39B4B714C54FFAA05D051 at>

**** Post-Doctoral Research Fellow in Natural Language Processing ****

The Research Group in Computational Linguistics (
at the University of Wolverhampton invites applications for a
Post-Doctoral Research Fellow in Natural Language Processing.

Salary: £32,267 - £38,522 (level of appointment dependent on
qualifications and experience)

Duration: 3-year position

Application deadline: 8th Sept 2013

Ref.: A6137

The applicant should have a PhD in Computational Linguistics, Computer
Science or Natural Language Processing and proven research experience in
these fields. The applicant should have experience of language
technologies. Publications in peer-reviewed conferences are essential
and publications in good journals are desirable.

Some experience of project proposal writing is ideal. The applicant
should have some teaching experience within the field of Computational
Linguistics. Good knowledge of machine learning is required. A solid
background in programming is required.

The position also requires that the appointed person supports principal
investigators of EC-funded projects. Therefore, the post-holder will
have good communication and interpersonal skills including the ability
to communicate with staff at all levels, in person, by telephone or in
writing. The ability to work well in a team, to meet deadlines and
manage a varied workload by effectively prioritising tasks is essential.

Experience with general management of projects is desirable as well as
experience in producing technical reports, summaries and project

For informal enquiries please contact Stephanie Kyle,
StephanieKyle at<mailto:StephanieKyle at>

Interviews to be held on 18 September 2013.

For more information about this post and to apply online, go to our

The University is eager to attract larger numbers of applications from
groups of people currently under-represented in the staff population,
especially from women and people from ethnic minority groups.

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