[AUDITORY] Ph.D. position at UT Austin

Subject: [AUDITORY] Ph.D. position at UT Austin

From: "Mishra, Srikanta" <srikanta.mishra@xxxxxxxxxxxxxxxxx>

Date: Sun, 10 Sep 2023 17:07:04 +0000

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Reply-to: "Mishra, Srikanta" <srikanta.mishra@xxxxxxxxxxxxxxxxx>

Sender: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>

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Thread-topic: Ph.D. position at UT Austin

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Ph.D. position at The University of Texas at Austin

My laboratory at the University of Texas at Austin has openings for two fully funded Ph.D. positions for Fall 2024 (https://slhs.utexas.edu/research/ut-care-lab/team)

The area of work is very broad: human hearing and hearing loss, focusing on signal processing in the human ear. Examples (not an exhaustive list): auditory neural systems, auditory signal processing, biomedical signals, cochlear mechanics, machine learning applications in hearing-in-noise, etc. Opportunities for regional, national, and/or global cross-disciplinary collaborations exist for the right candidate.

Candidates with hearing sciences backgrounds can apply, and students with biomedical or electrical engineering backgrounds interested in signal processing, time-frequency analysis, etc., are especially encouraged to apply. Candidates with an undergraduate engineering degree are welcome to apply. Undergraduate audiology students with exceptional qualifications may be considered.

Recent sample publications to show the flavor of diverse work are listed below:

Mishra SK & Moore DR (2023). Auditory deprivation during development alters efferent neural feedback and perception, Journal of Neuroscience, 43, 4642-4649.

Mishra SK & Biswal M (2019). Neural encoding of amplitude modulations in the human efferent system. Journal of the Association for Research in Otolaryngology. 20, 383-393.

Biswal M & Mishra SK (2018). Comparison of time-frequency methods for analyzing stimulus frequency otoacoustic emissions. Journal of the Acoustical Society of America, 143, 626-639.

Balan J, Rodrigo H, Saxena U, Mishra SK. Machine Learning Reveals the Importance of Extended High Frequencies for Predicting Speech-In-Noise Recognition in Listeners with Normal Audiograms. In: International Hearing Aid Research Conference. 2022

For Rankings and Recognitions UT Austin: https://admissions.utexas.edu/explore/rankings

Please send an email with a cover letter and CV for initial consideration.

(srikanta.mishra(at)austin.utexas.edu)