35.1856, Jobs: Computational Linguistics, Text/Corpus Linguistics: Post Doc Res Assoc w/Ret, University of Utah
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LINGUIST List: Vol-35-1856. Tue Jun 25 2024. ISSN: 1069 - 4875.
Subject: 35.1856, Jobs: Computational Linguistics, Text/Corpus Linguistics: Post Doc Res Assoc w/Ret, University of Utah
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Date: 22-Jun-2024
From: Catherine Scott [c.scott at utah.edu]
Subject: Computational Linguistics, Text/Corpus Linguistics: Post Doc Res Assoc w/Ret, University of Utah
University or Organization: University of Utah
Department: Second Language Teaching and Research Center
Job Location: Utah, USA
Web Address: https://l2trec.utah.edu/
Job Title: Post Doc Res Assoc w/Ret
Job Rank: Post Doc
Specialty Areas: Computational Linguistics; Text/Corpus Linguistics
Description:
The Second Language Teaching and Research Center (L2TReC:
http://l2trec.utah.edu) at the University of Utah invites applications
for a full-time post-doctoral position, up to 3 years, in Corpus
Linguistics and Second Language Acquisition. L2TReC is a vibrant hub
for faculty and students with research interests in Second Language
Acquisition and L2 pedagogy. It coordinates research based on data
generated by the State of Utah’s ambitious Dual Language Immersion
Program (http://www.utahdli.org), delivers intensive language courses
to military personnel, provides support and training for L2
instructors at all levels, and administers the statewide Bridge
Program-Advanced Language Pathway for high school students graduating
out of Utah’s Dual Immersion Program and heritage language learners
who pass the AP Exam
(http://l2trec.utah.edu/bridge-program/index.php).
We are seeking a post-doctoral fellow with a background in corpus
linguistics, preferably with hands-on experience in corpus building
and pedagogical applications of corpora. The successful applicant will
oversee continued development of the Center’s Multilingual Corpus of
Second Language Speech and the Corpus of Utah DLI Writing. To date,
the spoken corpus contains samples from over 500 child and adult
speakers of Chinese, French, Portuguese, Russian and Spanish, and the
written corpus contains approximately 5 million words of Chinese,
German, Portuguese and Spanish. Speech samples have been transcribed
and tagged according to CHILDES protocols. There is no expectation
that applicants will have had prior experience working with CHILDES,
but the successful candidate is expected to gain the requisite
expertise upon joining our team. Strong text processing skills using a
scripting language (Python, Perl, etc.) and up-to-date knowledge of
statistics are required. It will be the responsibility of the
successful applicant to lead further additions and improvements to the
corpora and to participate in the development of corpus-based
pedagogical materials for use in DLI classrooms. This will require
training and supervising a cadre of student research assistants in the
corpus languages (Chinese, French, German, Portuguese, Russian and
Spanish) and collaborating with foreign language teachers. The ideal
candidate will have native or near-native proficiency in one of the
corpus languages as well as English. Applicant must be self-motivated,
resourceful, very organized, able to multi-task and prioritize and
possess strong quantitative and analytic skills. Strong writing
ability is required, as applicant will be expected to contribute to
grant writing efforts in support of corpus development and to write
academic articles using the corpus data.
Required Qualifications:
- PhD in related field.
- Sound knowledge of corpus linguistics (annotation, text processing,
pedagogical applications) and quantitative analysis of corpus data and
full proficiency in a scripting language (e.g., Python).
- Ability to acquire new technical and/or theoretical knowledge as
needed.
- Native or near-native proficiency in spoken and written English.
- Ability to coordinate day-to-day business with the PIs and research
assistants to ensure that project goals and deadlines are met.
- Excellent communication skills, including strong writing skills,
and the ability to work well in a team.
- A high level of proficiency in one of the corpus languages
(Chinese, French, German, Portuguese, Russian and Spanish).
Desirable qualifications:
- Sufficient structural knowledge to perform analytical and
corpus-based work in one or more additional languages in the corpus.
- A record of published journal articles on corpus linguistics.
Mailing Address for Applications:
Web Address for Applications:
https://utah.peopleadmin.com/postings/166360
Contact Information:
Director Devin Jenkins
Email: l2trec at utah.edu
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