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Job Announcement: University of Wolverhampton
Computational Linguistics; Natural Language Processing: Post Doc, University of Wolverhampton, Wolverhampton, United Kingdom
University of Wolverhampton
Research Institute in Information and Language Processing
|Job Location:||Wolverhampton, United Kingdom|
|Title:||Post-Doctoral Research Fellow in Natural Language Processing|
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
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 prioritizing tasks is essential.
Experience with general management of projects is desirable as well as experience in producing technical reports, summaries and project outlines.
For informal enquiries please contact Stephanie Kyle at the contact email address below.
Interviews to be held on 18 September 2013.
For more information about this post and to apply online, go to the application URL below.
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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