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Description:
Applications are invited for a full-time postdoctoral position in computational linguistics/automated speech recognition through the Department of English at Northern Arizona University, Flagstaff. This project will focus on extracting intonation features applicable to automated scoring systems and develop algorithms to measure the degree of nativeness of accented speech.This new position has guaranteed funding for two calendar years commencing on the date of appointment, with continued appointment upon availability of funds.
Minimum Education:
Ph.D. in Natural Language Processing, Electrical and Computer Engineering, or Computational Linguistics by the time of appointment, with an emphasis on speech technology.
Required Qualifications
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Background in NLP and signal processing
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Background in machine learning (e.g., HMM, GMM, SVM)
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Interest or experience in speech feature extraction/analysis (e.g., pitch, LPC, MFCC, formants, jitter & shimmer)
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Computer program skills (e.g., C/C++, MATLAB, python)
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Knowledge about speech processing and implementation in automated systems
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Expertise in the application of speech recognition systems and fluency
Preferred Qualifications
To Apply:
Candidates should email letter of application, CV, and names & contact information for 3 references to Dr. Okim Kang (okim.kang@nau.edu). For the complete job announcements, visit (Job ID#600539):https://hr.peoplesoft.nau.edu/psp/ph90prta/EMPLOYEE/HCM/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_HM_PRE&Action=A&SiteId=1
Deadlines: Open until further notice; review of applications will start on November 5, 2013.
About NAU and Flagstaff:
Northern Arizona University (NAU) is a 25,000-student institution with its main campus is in Flagstaff, a four-season community of about 62,000 at the base of the majestic San Francisco Peaks. NAU is an Equal Opportunity/Affirmative Action Employer, and applications from minority and women candidates are especially welcome. The position is open to non-US citizens or non-permanent residents.
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