27.3105, Jobs: Computational Linguistics; Phonology: Post Doc, University of Chicago

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LINGUIST List: Vol-27-3105. Fri Jul 29 2016. ISSN: 1069 - 4875.

Subject: 27.3105, Jobs: Computational Linguistics; Phonology: Post Doc, University of Chicago

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Date: Fri, 29 Jul 2016 10:14:27
From: Diane Brentari [dbrentari at uchicago.edu]
Subject: Computational Linguistics; Phonology: Post Doc, University of Chicago, Illinois, USA

 
University or Organization: University of Chicago/Toyota Technical Institute-Chicago 
Department: Linguistics & Computer Science
Job Location: Illinois, USA 
Job Title: Post-Doc in Machine Learning/Computer Vision/Language Processing applied to Sign
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Phonology 

Required Language(s): American Sign Language (ase)
                      Sign Language 

Description:

Applications are sought for a post-doctoral position as part of an ongoing
project on automatic sign language analysis and recognition. The post-doc will
work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen
Livescu and Linguistics Department Faculty Diane Brentari and Jason Riggle
(University of Chicago). The work is part of a broad interdisciplinary project
including both recognition and linguistics of American Sign Language (ASL).
The post-doc will also have opportunities to collaborate with other TTIC and
U. Chicago researchers as relevant, and should be able to interact with
colleagues in a broad range of disciplines.

The goal of the work is to advance automatic recognition and analysis of
American Sign Language (ASL). The work includes both development of core
learning/vision/language methods, and application to ASL comprehension and
acquisition by a variety of learner groups. Some recent publications related
to the project are below.

The specific focus of the post-doc's research will be determined by mutual
agreement based on the post-doc's background and interests, and may include
any of: new graphical models, deep networks, and other learning techniques;
techniques inspired by speech recognition and NLP; hand pose
tracking/estimation constrained by the grammar of sign; domain
adaptation/normalization for different subjects and signing styles; and work
with new data sources, including depth sensors (e.g. Kinect) and motion
capture. Prior knowledge of/interest in ASL is preferred but not required.

The post-doc will be based at TTI-Chicago, a computer science graduate
institute located on the University of Chicago campus, with vibrant research
groups in machine learning, computer vision, and speech and language
processing. The position is for 1-2 years.

Advising and teaching opportunities are likely to be available if desired, but
this is not a requirement of the position.

Applicants are expected to have strong qualifications in machine learning or
related fields, and ideally also computer vision and/or speech and language
processing. Applicants should have a PhD or expected PhD in computer science,
electrical engineering, statistics, computational linguistics, or a related
field.

The start date is flexible. Compensation includes a competitive salary and
benefits plan. There are no citizenship requirements for the post-doc. The
position will remain open until filled.

Please direct questions and interest in the position to the application email
below. Complete applications should be sent to the same address and consist
of:

- Brief cover letter, describing your interest in and qualifications for the
position
- Curriculum vitae including publication list
- Contact information for two or more researchers who can provide letters of
reference



Application Deadline: 30-Sep-2016 (Open until filled)
	  
Email Address for Applications: ASL-postdoc at ttic.edu 
Contact Information:
	Professor Diane Brentari 
	Email: dbrentari at uchicago.edu 


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