Date: Mon, 6 May 1996 11:12:00 -0400
From: Ted Briscoe <ejb@linc.cis.upenn.edu>
Posted-Date: Mon, 6 May 1996 11:12:00 -0400
Message-Id: <199605061512.LAA18508@linc.cis.upenn.edu>
To: nl-kr@cs.rpi.edu, sigparse@cs.cmu.edu, empiricists@csli.stanford.edu,
        corpora@nora.hd.uib.no, elsnet-list@cogsci.ed.ac.uk, salt@essex.ac.uk,
        aisb@cogs.sussex.ac.uk, ai+lisp-jobs@cs.cmu.edu,
        cam-slang@cl.cam.ac.uk, linguist@tamvm1.tamu.edu
Subject: Job available: 1 computational linguist
Sender: ai@A.GP.CS.CMU.EDU


JOB AVAILABLE:

1 COMPUTATIONAL LINGUIST

We are looking for one - preferably postdoctoral - research assistant
to work on the CEC-funded LRE project SPARKLE in collaboration with
groups in Pisa, Stuttgart, Sharp (UK), Xerox (France), and Daimler
(Germany) on `Shallow parsing and (lexical) knowledge extraction for
language engineering'.

Applicants should be able to program in Lisp and/or C and have knowledge
of research in statistical and/or unification/constraint-based
computational linguistics. Our component of the research involves further
development of a robust statistical parsing system and of a system for
acquiring lexical information about the argument structure of predicates
from textual corpora utilising the robust parser.

Applicants will be paid on a scale commensurate with RA(1A) (salary 15986
UK pounds at age 27) and should be able to start full-time work on the
project between July and October 1996, for a period of 2-3 years. The post
will be based at Cambridge and the research will involve close collaboration
with a second RA at Sussex University. The grant includes provision
for project and conference travel. Further details can be obtained by
email from the first grant-holder, below. Applications should be submitted
via email and should include a latex source/postscript CV and the names
and email addresses of three referees.

Dr. E.J. Briscoe (Ted.Briscoe@cl.cam.ac.uk)
Computer Laboratory,
University of Cambridge, UK

Dr. J. Carroll (John.Carroll@cogs.susx.ac.uk)
School of Cognitive and Computing Sciences,
University of Sussex, UK


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