LINGUIST List 24.4975

Fri Dec 06 2013

Jobs: English; Comp Ling; Speech Recognition; Natural Language Understanding: Post Doc, Notre Dame

Editor for this issue: Sarah Fox <>

Date: 06-Dec-2013
From: Andrew Olney <>
Subject: English; Computational Linguistics; Speech Recognition; Natural Language Understanding: Post Doc, Notre Dame, Indiana, USA
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University or Organization: Notre Dame Department: Computer Science Department Job Location: Indiana, USA Web Address:
Job Title: Postdoc in Speech Recognition and Dialog-Centered Natural Language Understanding

Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Speech Recognition; Natural Language Understanding

Required Language(s): English (eng)


The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as February 1st 2014 for a minimum of one year, renewable for a second year, and possible extension to a third year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in automatic speech recognition and dialog-centered natural language understanding. He/she will participate in the design, development, and exploration of innovative methods, algorithms and techniques that bridge acoustic/language modeling and dialogue-focused natural language understanding on real-world, multi-party speech data collected in educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, to develop leadership skills by mentoring students, and to gain expertise in authoring collaborative grant proposals.

- Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field
- Research experience in one or more of the following research areas (automatic speech recognition, natural language understanding, or related area of natural language processing)- A solid publication track record in one or more of the aforementioned areas
- Ability to work both individually and as a member of an interdisciplinary team
- Ability to mentor graduate and undergraduate students

- Experience working on interdisciplinary projects and/or on educational research
- Advanced statistical and data mining skills (e.g., HLM, SEM, Bayesian models, machine learning)

Job Details:
Two year position (providing renewal based on Year 1 performance) starting as early as February 1, 2014. Possible extension to a third year based on availability of funds. Start date is negotiable.
Competitive salary with benefits commensurate with qualifications.

How to Apply:
Applicants should email (1) cover letter, (2) current CV, and (3) name, title, and contact information of three references to Kristopher Kopp at the application email address below. Inquires may be addressed to Sidney D’Mello (

About the University of Notre Dame:
The University of Notre Dame is a widely recognized and respected university in the U.S. It is one of the few universities to consistently rank in the top 25 in the U.S. News & World Report survey of America's best colleges. The University is located in South Bend Indiana, a city with a vibrant culture, affordable housing, excellent school systems, and within easy driving distance of Chicago and Lake Michigan. Further information on the Computer Science department can be found at the department URL above.

Application Deadline: (Open until filled)
Email Address for Applications: Contact Information:
Andrew Olney Email:

Page Updated: 06-Dec-2013