8.1065, Jobs: Research at Birkbeck, NLP at U Sussex

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LINGUIST List:  Vol-8-1065. Fri Jul 18 1997. ISSN: 1068-4875.

Subject: 8.1065, Jobs: Research at Birkbeck, NLP at U Sussex

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1)
Date:  Wed, 16 Jul 1997 11:06:41 +0000
From:  Gareth Gaskell <g.gaskell at psychology.bbk.ac.uk>
Subject:  Research at Birkbeck

2)
Date:  Fri, 18 Jul 97 16:06 BST
From:  johnca at cogs.susx.ac.uk (John Carroll)
Subject:  Natural language processing at Univ Sussex

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

Date:  Wed, 16 Jul 1997 11:06:41 +0000
From:  Gareth Gaskell <g.gaskell at psychology.bbk.ac.uk>
Subject:  Research at Birkbeck

- ----
             Birkbeck College, University of London

                CENTRE FOR SPEECH AND LANGUAGE

                        RESEARCH ASSOCIATE

- -----------------------------------------------------------------

We have an RA position available in this interdisciplinary Centre,
directed by Professor L.K. Tyler, available from 1 October 1997 to 31
December 1999.

The RA will work on an MRC programme grant, investigating semantic
impairments using a combination of behavioural and computational
methodologies. Candidates should have a background in experimental
psycholinguistics and/or cognitive neuropsychology and should be
experienced in working with language-impaired patients.

The starting salary on the postdoctoral 1A scale will range from
17293 - 20628 including London Allowance, depending upon
experience.

Closing date for applications: 12 September 1997.

For additional information, contact Professor L.K. Tyler (0171 631
6589; email: l.tyler at psychology.bbk.ac.uk).

Applications (3 copies of a current cv and the names and addresses of
3 referees) should be sent to: Professor Tyler at Department of
Psychology, Birkbeck College, Malet Street, London WC1E 7HX.

Candidates should be aware that the Centre for Speech and Language may
move to the University of Cambridge in July 1998.

Professor L.K. Tyler
Centre for Speech and Language
Department of Psychology
Birkbeck College
Malet Street
London WC1E 7HX


-------------------------------- Message 2 -------------------------------

Date:  Fri, 18 Jul 97 16:06 BST
From:  johnca at cogs.susx.ac.uk (John Carroll)
Subject:  Natural language processing at Univ Sussex

                       UNIVERSITY  OF  SUSSEX

              SCHOOL OF COGNITIVE AND COMPUTING SCIENCES

                    Research into robust parsing

A research assistant position is available on a 3-year EPSRC-funded
project entitled `PSET: Practical Simplification of English Text'. The
goal is to build a computer system which takes in English newspaper text
across the WWW, and outputs a simplified version with broadly similar
meaning (with, for example, uncommon or unusual words replaced with more
common or familiar synonyms, and difficult to follow syntactic constructs
replaced with simpler ones); the system will be targetted at people
suffering from aphasia which impairs their comprehension of written
English. The component of the research at Sussex involves further
development of an existing robust statistical parsing system. The project
is in collaboration with researchers at the University of Sunderland.

Applicants should have research experience in natural language processing
(i.e. PhD-level or similar), with knowledge of statistical and/or
unification/constraint-based computational linguistics, and should be
familiar with UNIX and C. Ability to program in Lisp and experience of
MacOS are also desirable. The salary will be on the Research 1B or 1A
Scale (#15,159-22,785 pa), depending on age and experience.

The project will start on or soon after October 1, 1997. The grant includes
provision for attendance at relevant workshops and conferences. See
<http://www.cogs.susx.ac.uk/lab/nlp/carroll/carroll.html> for further
details. Interested candidates should send a CV as soon as possible to: Dr
John Carroll, Cognitive and Computing Sciences, University of Sussex,
Falmer, Brighton BN1 9QH, UK. E-Mail: john.carroll at cogs.susx.ac.uk; Fax:
(+44 / 0)1273 671320

Previous applicants need not re-apply.

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