|Title: Postdoctoral researcher: Machine Learning/Computer Vision/Language Processing applied to Sign Language Analysis ||Posted: June 19, 2014|
|Company/Institution: Toyota Technological Institute at Chicago|
|Location: Chicago, IL|
Description: Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of 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), in part through development of core methods for learning and vision. 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 and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
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 2 years, contingent on annual reappointment.
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 (by the end of 2014) in computer science, electrical engineering, statistics, or a related field.
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. There are no citizenship requirements for the post-doc. The position will remain open until filled.
Application Instructions: Please direct questions and interest in the position to ASLemail@example.com. Complete applications should be sent to the same address and consist of:
1) brief cover letter, describing your interest in and qualifications for the position
2) curriculum vitae including publication list
3) contact information for two or more researchers who can provide letters of reference