11.683, Jobs: Probabilistic NLP Researcher, ICCS Edinburgh UK

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LINGUIST List:  Vol-11-683. Tue Mar 28 2000. ISSN: 1068-4875.

Subject: 11.683, Jobs: Probabilistic NLP Researcher, ICCS Edinburgh UK

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1)
Date:  Mon, 27 Mar 2000 13:15:12 +0100
From:  betty at cogsci.ed.ac.uk
Subject:  Probabilistic NLP: Research Fellow at Institute for Communicating
         and Collaborative Systems (ICCS), Edinburgh UK

-------------------------------- Message 1 -------------------------------

Date:  Mon, 27 Mar 2000 13:15:12 +0100
From:  betty at cogsci.ed.ac.uk
Subject:  Probabilistic NLP: Research Fellow at Institute for Communicating
         and Collaborative Systems (ICCS), Edinburgh UK

Division of Informatics
RESEARCH POSITION IN PROBABILISTIC NATURAL LANGUAGE PROCESSING

This project in the Institute for Communicating and Collaborative
Systems (ICCS) of the Division of Informatics is funded by EPSRC to
investigate the use of Categorial Grammars to support wide coverage
statistically guided natural language parsing. A large categorial
lexicon will be induced from labelled treebank corpora and the project
will extend head dependency-based techniques to the parsing of a wide
variety of problematic constructions involving long-range
dependencies, including relatives, parentheticals, non-constituent
fragments, and varieties of coordinate structures. The parser will
deliver both syntactic and semantic structure.  Evaluation will be
both by comparison to existing large coverage parsers using standard
measures, and by application to information processing tasks. We seek
an individual to join an existing team of staff and postgraduate
students to assist development of such parsers and applications.

The ideal candidate will hold a degree in Computational Linguistics,
Computer Science, Linguistics, or Artificial Intelligence and have an
in interest both in linguistic analysis and parsing technology. S/he
will have practical experience in programming, developing grammars,
parsers, and probability models, and analysing linguistic corpora.

Salary scale: 16,286 - 18.185 pounds per annum.  The post is for 3
years initially (subject to further funding).

Additional information about The Division of Informatics
	http://www.informatics.ed.ac.uk/        ICCS
	http://www.iccs.informatics.ed.ac.uk/   and related groups such HCRC
	http://www.hcrc.ed.ac.uk/          and the Language Technology group
	http://www.ltg.ed.ac.uk/overview.htm    is available from our website.

Informal enquiries may be made to: Mark Steedman
(steedman at cogsci.ed.ac.uk) Please quote reference number 306195WW

Further particulars are available from, and applications should be
sent to:

Personnel
University of Edinburgh
9-16 Chambers Street
Edinburgh, EH1 1HT
Tel: 0131 650 2511 (24 hour answering service).
Closing date for applications is 4 April 2000.


Further Particulars for the post of research associate in probablistic
natural language processing, ICCS, Division of Informatics, 2
Buccleuch Place, Edinburgh EH8 9LW

This project in the Institute for Communicating and Collaborative
Systems (ICCS) of the Division of Informatics is funded by EPSRC to
investigate the use of Categorial Grammars to support wide coverage
statistically guided natural language parsing. A large categorial
lexicon will be induced from labelled treebank corpora and the project
will extend head dependency-based techniques to the parsing of a wide
variety of problematic constructions involving long-range
dependencies, including relatives, parentheticals, non-constituent
fragments, and varieties of coordinate structures. The parser will
deliver both syntactic and semantic structure.  Evaluation will be
both by comparison to existing large coverage parsers using standard
measures, and by application to information processing tasks. We seek
an individual to join an existing team of staff and postgraduate
students to assist development of such parsers and applications.

The ideal candidate will hold a degree in Computational Linguistics,
Computer Science, Linguistics, or Artificial Intelligence and have in
interest both in linguistic analysis and parsing technology. S/he will
have practical experience in programming, developing grammars,
parsers, and probability models, and analysing linguistic corpora.

Successful candidates will be hired on the AR1A researcher scale
(16,286-18,185 pounds per annum) , depending on age and
experience. They will be employed initially for a period of three
years, starting as soon as possible.

Additional information about The Division of Informatics
	http://www.informatics.ed.ac.uk/        ICCS
	http://www.iccs.informatics.ed.ac.uk/   and related groups such HCRC
	http://www.hcrc.ed.ac.uk/          and the Language Technology group
	http://www.ltg.ed.ac.uk/overview.htm    is available from our website.

The University
The University of Edinburgh has a student population of around 15,000
and employs nearly 2,000 Academic and Related staff, and some 3,500
non-teaching staff in the Clerical, Technical and Manual
categories. The main locations of the University are in the centre of
the city (South Side) and at King's Buildings some 2.5 miles away.

The Division of Informatics
Informatics is the study of the structure, behaviour, and interactions
of both natural and artificial computational systems. The Division was
formed in 1998 by combining the Department of Computer Science, the
Department of Artificial Intelligence, and the Centre for Cognitive
Science.

ICCS
The Institute for Communicating and Collaborative Systems (ICCS) is
dedicated to the pursuit of basic research into the nature of
communication among humans and between humans and machines using text,
speech, and graphics, and the design of interactive dialogue systems,
using computational and algorithmic approaches, with applications
including natural language processing, information retrieval and
presentation, education, musical analysis, and instruction.

The work of the Institute is crucially interdependent with work of
units at Edinburgh outwith Informatics, notably the Linguistics,
Philosophy, and Psychology Departments, with which it interacts via
the cross faculty Human Communication Research Centre (HCRC).

The members of ICCS comprise around forty-five academic and research
staff doing basic and applied research in a wide range of topics in
Cognitive Science, Artificial Intelligence, and Computer Science
concerning dynamic aspects of cognition, including: computational
syntax and semantics and their interaction in processing; human
learning, human reasoning and psychologically realistic knowledge
representation; the production and analysis of cooperative
communication in a number of modalities including spoken and written
text and dialogue, graphics design and multimedia, and music.  The
Language Technology Group pursues research within the Institute in a
number of application domains, including instructional and educational
systems, interactive information management systems and
computer-assisted collaboration tools.

Hours
Fixed hours of attendance are not specified, you will be expected to
work such hours, normally Monday to Friday, as are required from the
proper discharge of your duties. The working week will average 35
hours. Part-time staff will be remunerated pro-rata to 35 hours.

Application Procedure
Please complete and return the Equal Opportunities Monitoring Form,
and the Application Form to, Recruitment, The Personnel Department,
9-16 Chambers Street, Edinburgh, EH1 1HT by the closing date of 4
April 2000. We cannot guarantee to consider late applications.

These particulars are issued by the Personnel Office, 9-16 Chambers
Street, Edinburgh, EH1 1HT, and represent an accurate description of
the duties at the time of writing, although this accuracy cannot be
guaranteed. The University reserves the right to vary these
particulars in making an appointment or to make no appointment at
all. Neither in part nor in whole do these particulars form part of
any contract between the University and any individual.


This advert can also be found at:

http://www.iccs.informatics.ed.ac.uk/vacancies/



Betty Huyhes
Institute Secretary

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