Postdoctoral fellowship in corpus phonetics / data science for speech, Northwestern University

Applications are invited for a postdoctoral fellowship (contingent on final approval of funding) for a National Science Foundation grant entitled, Enhancing speech and deep learning research through holistic acoustic analysis. This project will test a novel, unsupervised deep learning approach that discovers a representational space for analysis of acoustic variation. To test this highly general approach, we will assess whether it out-performs a baseline, based on current methods for analyzing individual variation in bilingual speech.
The postdoctoral fellow will be co-supervised by Matt Goldrick (PI) and Ann Bradlow (co-I). The fellow will help develop automated workflows for a number of grant components, including: the baseline technique for measuring acoustic variation using current (off-the-shelf) automatic acoustic analysis methods; online intelligibility testing over large numbers (1000+) participants; and online free-classification techniques.
The fellow will work in collaboration with research teams at other grant sites: Technion University (lead by Joseph Keshet) and the University of California at San Diego (lead by Tamar H. Gollan). The project will support travel by the fellow to one of these other sites and other opportunities for professional development.
Desired qualifications include experience with corpus phonetics techniques including data-frame/corpus design, phonetic processing and scripting in Praat, online speech recognition testing with automatic scoring, and data visualization and analysis with R. 
The position is for one year, with the potential for renewal for a second year. The pay rate will follow NIH postdoctoral fellows stipend levels. The position can start as early as September 1, 2022, and ideally would begin before January 1, 2023. Applications should be submitted to Applications should include a CV (including contact information and links to written work) and the names of two references (letters will be requested after initial review of applications). Application review will begin June 20, 2022.  Email inquiries about the position should be directed to Matt Goldrick ( or Ann Bradlow (


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