[AUDITORY] Two PhD positions at UT Austin

Subject: [AUDITORY] Two PhD positions at UT Austin

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

Date: Sat, 19 Nov 2022 00:40:33 +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: Two PhD positions at UT Austin

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Two fully-funded Ph.D. positions

My laboratory at The University of Texas at Austin has openings for two fully-funded Ph.D. positions for Fall 2023 or earlier (subject to graduate admissions). The area of work is very broad: auditory signal processing, auditory development, cochlear mechanics, extended high frequency hearing, efferent auditory system, pediatric audiology, peripheral auditory mechanics, etc. Vast opportunities for local, regional, national, and/or global cross-disciplinary collaborations exist for the right candidate. Candidates with backgrounds in signal processing and electrical engineering are especially encouraged to apply. Candidates with an undergraduate engineering degree are welcome to apply.

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

Mishra SK, Saxena U & Rodrigo H (2022). Hearing impairment in the extended high frequencies in children despite clinically normal hearing. Ear & Hearing, 43(6):1653-1660. Editor’s Choice paper

Mishra SK, Renken L, Hernandez M & Rodrigo H (2021). Auditory development of frequency discrimination at extended high frequencies. Ear & Hearing, 42:700-708

Mishra SK (2020). The role of efferents in human auditory development: Efferent inhibition predicts frequency discrimination in noise for children. J of Neurophysiology. 123, 2437-2448.

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)