Reader in Translation Technology
The Research Group in Computational Linguistics at the University of Wolverhampton is currently recruiting a Reader in Translation Technology (permanent). The purpose of this post is to strengthen the research group by enhancing its research and publications in the field of translation technology. You will be expected to produce REF-returnable outputs, attract external income, seek industrial collaborations, teach at Masters level and supervise PhD students.
You will hold a first degree in a relevant discipline, together with a PhD (or equivalent) in a field related to machine translation, translation memories or translation technologies, and will have completed work at postdoctoral research level at a university, research institute or in a related part of the private sector in the UK or abroad. You will be proficient in a range of subject-specific skills and ideally will have extensive experience in site-based research settings. You will be able to demonstrate the ability to work independently to develop new research objectives and proposals including contributing to the securing of external funding and collaborative projects.
You should have evidence of an individual track record in research which is at the cutting edge of machine translation and/or translation technology and is recognised internationally (e.g. through publications in journals). You should have a track record of having successfully obtained funding from external sources and successfully completed projects. You will have teaching experience and a track record in supervising PhD students.
Interview dates to be confirmed.
Start of the posts: to be agreed with the successful candidate, but no later than autumn 2017.
For informal discussion about the roles please contact Dr Constantin Orasan (email@example.com).
The Research Group in Computational Linguistics (http://rgcl.wlv.ac.uk) at the University of Wolverhampton was founded by Prof. Ruslan Mitkov in 1998 and is one of the leading research groups in computational linguistics in the UK. The group is well known for its high level research with strong international and inter-sector collaboration, and is renowned for its innovative NLP research and development of various NLP tools and resources. RGCL was the coordinator of the recently completed EXPERT project (http://expert-itn.eu) which trained young researchers to promote the research, development and use of hybrid language translation technologies. The reader and research fellow to be appointed are expected to continue the work in this direction.
The University of Wolverhampton values a diverse workforce and welcomes applications from all sections of the community.