10.973, Jobs: Psycholinguistics, Human Lang Technology

Tue Jun 22 16:05:23 UTC 1999

LINGUIST List:  Vol-10-973. Tue Jun 22 1999. ISSN: 1068-4875.

Subject: 10.973, Jobs: Psycholinguistics, Human Lang Technology

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=================================Directory=================================

1)
Date:  Tue, 22 Jun 1999 08:40:05 -0400
From:  "Cynthia M. Connine" <connine at binghamton.edu>
Subject:  Research Associate, Psycholinguistics

2)
Date:  Tue, 22 Jun 1999 16:41:35 +0200
From:  Ernst Buchberger <ernst at ai.univie.ac.at>
Subject:  Human Language Technology

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

Date:  Tue, 22 Jun 1999 08:40:05 -0400
From:  "Cynthia M. Connine" <connine at binghamton.edu>
Subject:  Research Associate, Psycholinguistics

Research Associate: State University of New York at Binghamton, Cynthia
Connine,  Psycholinguistics Laboratory

I seek a Research Associate (funded on a four year NIH grant) with
expertise in psycholinguistics.
The ideal candidate would have research experience in psycholinguistics
(spoken word processing and/or speech perception)
 combined with training in acoustic-phonetic analysis and computer (PC)
skills.  BA or BS in relevant field
(linguistics, psychology, speech communication) required; MA or MS in
relevant field preferred.
Duties include database search and analysis of spoken language corpora,
acoustic-phonetic analyses of
phonological variants, developing experiments, preparing stimuli, analyzing
data, aiding in manuscript preparation
and managing daily laboratory activities.  A minimum of two year commitment
is desired.

Send vita and three letters of reference to:
Dr. Cynthia Connine
Psychology Department
State University of New York at Binghamton
Binghamton, N.Y.   13902
email: connine at binghamton.edu
FAX:607-777-4890

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

Date:  Tue, 22 Jun 1999 16:41:35 +0200
From:  Ernst Buchberger <ernst at ai.univie.ac.at>
Subject:  Human Language Technology

JOB OPPORTUNITY
        3 Research positions in Human Language Technology
 at the Austrian Research Institute for Artificial Intelligence (OeFAI),
                        Vienna, Austria

We offer 3 positions in OeFAI's Natural Language Processing Group. The
successful applicants will participate in the basic research projects
described below which are funded by the Austrian Science Foundation
(FWF).
The projects are headed by Ao.Prof.Harald Trost.

Positions are open for candidates having a degree in computational
linguistics, or digital signal processing, or computer science plus a
background in linguistics.  All positions are to be filled as soon as
possible.

The yearly gross salary for these positions will be ATS 260.000 for
candidates without PhD and ATS 360.000 for PostDocs before taxes
according to FWF regulations. PhD students are encouraged to realize
their
PhD within the project.

A good command of English and/or German is expected. For non EU citizens
a residence permit is required.

OeFAI is the leading Austrian research institute in the field of
Natural Language Processing. It is situated in the center of Vienna.
Apart from excellent research facilities, Vienna offers many
possibilities
for all kinds of sports and cultural activities.

More information about the OeFAI and its Natural Language Processing
group can be found at http://www.ai.univie.ac.at/oefai/nlu/
Inquiries and applications (including a short CV and list of
publications) should be sent by mail or email to:

Harald Trost
OeFAI
Schottengasse 3
A-1010 Wien, Austria
Tel.: +43 1 4277-63121
Fax:  +43 1 5336112-77
Email: harald at ai.univie.ac.at
A copy of applications by email should be sent to ernst at ai.univie.ac.at
as well.
________________________________________________________________________

Position 1 (Junior Researcher/PhD Student or Postdoc):

The candidate should have strong interest in corpus-based linguistics
and parsing. The candidate will be affilitated to a project that aims
at investigation and exploitation of lexicalization phenomena in
parsing. Lexical information shall be used in stochastic parsing to
increase accuracy and to gain processing efficiency.

She/he has a degree in
- computational linguistics or
- computer science or a comparable study,
  with a background in linguistics.

She/he has experience in
- corpus-based linguistics and/or
- (shallow) parsing and
- basic statistics or information theory.

She/he has good programming experience, preferably in C and/or C++.

The candidate will join an ongoing project which runs till the end of
2001. Continued employment after the end of the project is
possible.
_______________________________________________________________________

Position 2 (Junior Researcher/PhD Student or Postdoc)

The candidate will participate in a project in the area of
multimodal interfaces that investigates the role of speech
in multimodal interaction with texts, in particular web-based news
texts.
During the course of the project, a corpus will be
collected and evaluated. Work on the actual system will include
development of the language processing and web tools
as well as usability testing.

The candidate has a degree in
- computer science,
  preferably with a background in multimedia presentation, or
- computational linguistics,
  preferably with knowledge in dialogue processing, or
- linguistics, with a strong background in
  empirical analysis of spoken utterances,
  and programming experience.

The candidate will join a project that starts in July 1999 and runs
until
2002. Continued employment after the end of the project is possible.
______________________________________________________________________

Position 3 (Junior Researcher/PhD Student or Postdoc)

The candidate will participate in a project in the area of speech
synthesis
that aims at the investigation of segmental durations in German.

A speech corpus of "Austrian German" is constructed and subsequently
analyzed using machine learning techniques in order to derive models
of durational variation. From a theoretical point of view the project
aims for a better understanding of the quantitative effects of the
multiple factors influencing duration in speech. From a practical
point of view the results will be used in order to improve the
naturalness of prosody in a speech synthesis program.

Candidates are to deal with one or more of the following tasks:
- development of procedures and tools for supporting the
  (semi automatic) labeling and representation of the corpus
- adaption and application of machine learning techniques
- integration of resulting models to an existing speech synthesizer

She/he has a degree in
- computational linguistics, or
- phonetics, or
- digital signal processing, or
- computer science plus a background in linguistics.

She/he has programming experience, preferably in C and/or C++.

The candidate will join an ongoing project which runs till the end of
2001. Continued employment after the end of the project is possible.

- ----------------------------------------------------------------------
Ernst Buchberger, Dept. of Med.Cybernetics & Artificial Intelligence,
University of Vienna,     Freyung 6,          A-1010 Vienna,  Austria
and Austrian Research Institute for Artificial Intelligence,   Vienna
+43-1-4277-63117 (tel), +43-1-4277-9631 (fax),  ernst at ai.univie.ac.at

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