27.2720, Jobs: Computational Linguistics; Text/Corpus Linguistics: Researcher, New York University Abu Dhabi

Fri Jun 24 14:38:34 UTC 2016

LINGUIST List: Vol-27-2720. Fri Jun 24 2016. ISSN: 1069 - 4875.

Subject: 27.2720, Jobs:  Computational Linguistics; Text/Corpus Linguistics: Researcher, New York University Abu Dhabi

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Date: Fri, 24 Jun 2016 10:38:29
From: Bassel Musfi [nyuad.arabic at nyu.edu]
Subject: Computational Linguistics; Text/Corpus Linguistics: Researcher, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

University or Organization: New York University Abu Dhabi 
Department: Arabic Studies Program
Job Location: Abu Dhabi, United Arab Emirates 
Web Address: http://nyuad.nyu.edu/en/about/careers/faculty-positions.html
Job Title: Computational Linguistics Researcher
Job Rank: Researcher

Specialty Areas: Computational Linguistics; Text/Corpus Linguistics 

Required Language(s): Arabic, Standard (arb)

Description:

Computational Linguistics Researcher
SAMER: Simplification of Arabic Masterpieces for Extensive Reading
Muhamed Al Khalil (PI), Nizar Habash (Co-I), Dris Soulaimani (Co-I)
NYU Abu Dhabi

SAMER is a funded research project at NYU Abu Dhabi seeking to address the
severe dearth of graded readers in Arabic fiction by creating a standard and
tools for the simplification of fictional works to school-age learners. SAMER
is led by a team of specialists in Arabic linguistics, computer science,
literature, and K12 education working to build a corpus of all the texts in
Arabic used in teaching and learning in the official school curricula of the
United Arab Emirates; analyze it for lexical, morphological, and syntactic
features; and generate a Graded Reader Scale (GRS) mirroring readability
levels in the primary, preparatory, and secondary curricula to assist in the
simplification process. Finally the team will conduct a competition to draw in
the best talents among students and specialists of Arabic from around the Arab
World to simplify some of the major works in Arabic fiction in line with the
GRS levels and guidelines.

This project is currently seeking to hire a researcher with a set of advanced
skills in Arabic, computer programming, data analysis, and web technologies.
The ideal candidate is expected to hold (at a minimum) an MS or MA degree in
computational linguistics, computer science, or a related field with some
proven experience in natural language processing. The position is based in the
Arabic Studies program and the researcher will report to professor Muhamed Al
Khalil but he/she will also be working closely with professor Nizar Habash in
the Computational Approaches to Modeling Language (CAMeL) lab at NYUAD.

Terms of employment are competitive and include a generous salary, housing,
and other benefits. The preferred start date is September 2016. The duration
of employment is for two years.

Applications will be accepted immediately. To be considered, all applicants
must submit a cover letter, curriculum vitae with full publication list,
statement of research interests, representative publications, and the contact
information for three references to be invited to write letters in support of
the application -- all in PDF format. For instructions and information on how
to apply, please visit our website at the web address below. If you have any
questions, please send an email to the address below. More information about
NYUAD's Arabic Studies program can be found at
http://nyuad.nyu.edu/en/academics/academic-divisions/arts-humanities/language/
arabic-studies-program.html

About NYUAD:

New York University has established itself as a Global Network University, a
multi-site, organically connected network encompassing key global cities and
idea capitals. The network has three foundational degree-granting campuses:
New York, Abu Dhabi, and Shanghai, complemented by a network of eleven
research and study-away sites across five continents. Faculty and students
will circulate within this global network in pursuit of common research
interests and the promotion of cross-cultural and interdisciplinary solutions
for problems both local and global.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity
Employer

Application Deadline: 31-Dec-2016 (Open until filled)

Web Address for Applications: https://apply.interfolio.com/35849 
Contact Information:
	Mr. Bassel Musfi 
	Email: nyuad.arabic at nyu.edu 

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