Research Associate in Natural Language Processing
University of Sheffield
Applications are invited for a researcher to work on the EPSRC-funded
RESULT project in the Natural Language Processing Group at Sheffield
University. The project will focus on novel machine learning techniques
for Information Extraction. The successful applicant will be involved in
the development of new approaches for the extraction of complex
information from a range of texts types, including the biomedical
domain. It is expected that the successful applicant will build upon
existing IE technology and work with other IE researchers in Sheffield.
The successful candidate will have a Master's degree or, preferably, PhD
in Natural Language Processing or a similar subject. Applicants should
have experience of Language Engineering or building Natural Language
Understanding systems. Strong programming skills are required,
preferably in Perl, Java or C.
Experience of any of the following would be highly advantageous:
* machine learning
* information extraction (including Named Entity Recognition)
* parsing
* use of ontologies (including WordNet)
* biomedical text processing
FURTHER INFORMATION: This EPSRC-funded post is available for a period
of up to 30 months from 1 October 2004.
INFORMAL ENQUIRIES: Informal enquiries may be made to Dr Mark Stevenson
(m.stevenson@dcs.shef.ac.uk).
SALARY: Within the scale for Research staff Grade IA: from £19,400 per
annum.
CLOSING DATE: 16th August 2004.
PLEASE QUOTE REFERENCE NO: PR1093
HOW TO APPLY:
Download application pack: http://www.shef.ac.uk/jobs/ap_academic.pdf
Please send:
a) your full curriculum vitae with a covering letter explaining your
interest in, and suitability for, this vacancy (two copies of each)
b) a completed Summary Information Form/Equal Opportunities Monitoring Form
by post to:
The Staff Recruitment Service
Department of Human Resources - Personnel Services
The University of Sheffield
Firth Court
Western Bank
SHEFFIELD S10 2TN
or in person to:
The Staff Recruitment Service
Department of Human Resources - Personnel Services
The University of Sheffield
10 - 12 Brunswick Street
SHEFFIELD S10 2FN
(Reception is open Monday-Friday 9am - 5pm).
Department of Computer Science, University of Sheffield
This is a lively and busy academic department with thirty academic
staff, thirty-five research associates, one departmental administrator,
five secretaries, seven technical staff and approximately 500
undergraduate and postgraduate students. We are in both the Faculty of
Engineering and the Faculty of Pure Science and run six undergraduate
degree courses and five MSc courses. There are six research groups --
Natural Language Processing, Speech and Hearing, Verification and
Testing, Machine Learning, Graphics and Robotics.
The Department of Computer Science at Sheffield University is a leading
European centre for research in the area of Computational Linguistics
and Language Engineering. The Natural Language Processing Group
(http://nlp.shef.ac.uk) was founded nine years ago under the leadership
of Professor Yorick Wilks, and now has over thirty members. The group
has special expertise in a range of areas, including information
extraction, software architectures for natural language processing,
dialogue and conversational systems, and lexicons and ontologies.
The NLP Research Group is the largest group within the Department of
Computer Science, with 4 Professors, 1 Reader, 1 Senior Lecturer and 2
Lecturers. The group also consists of 1 Senior Research Scientist, 24
Research Associates, 10 PhD Students, 1 Research Coordinators, and 1
Research Secretary.
The group currently has 17 Grants, 8 European (3 as Coordinator) and 9 UK.
Membership of such a large and well-funded research group brings many
advantages. The group provides an excellent research environment, with
the benefits of shared expertise, opportunities for intellectual
exchange and collaboration, and a good computing, research and
administrative infrastructure. In addition, the group's success in
winning research funding provides the potential for longer-term
employment, through researchers being hired onto further grants.
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