[Elsnet-list] Job: Research Associate position in Information Extraction/Machine Learning at Sheffield

Mark Stevenson M.Stevenson at dcs.shef.ac.uk
Thu Jul 15 17:07:52 CEST 2004


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 at 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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