The Biofeedback Intervention Technology for Speech Lab at NYU (BITS Lab; PI: Tara McAllister), in collaboration with NYU's Music and Audio Research Lab (MARL), is seeking a full-time postdoctoral researcher with expertise in digital signal processing, audio and acoustics, or machine learning and demonstrated experience working with speech data. The project involves developing real-time acoustic biofeedback software for clinical speech intervention, with a focus on automated classification of sibilant productions as accurate or distorted. The postdoc will compare analytic and ML approaches to sibilant classification and contribute to acoustic visualization tools for a web-based clinical application. Candidates from a clinical speech or acoustic phonetics background are also welcome to apply. 

The position will begin in summer or fall 2026 and is fully remote for U.S.-based candidates (Eastern or Central time zones preferred). In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $65,000–$70,000. New York University considers factors such as, but not limited to, the specific grant funding and the terms of the research grant when extending an offer. To apply, submit a cover letter, CV, and 2–3 references via Interfolio: https://apply.interfolio.com/183906. Deadline: April 30, 2026.

BITS Lab is also recruiting PhD students to begin in fall 2027, with an option to be jointly supervised by faculty from MARL. Interested applicants should contact Dr. McAllister directly.