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Postdoctoral Associate

Massachusetts Institute of Technology

Cambridge, MAFull-time$73–90K/yrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$73–90K/yr
Location
Cambridge, MA
Role Type
Research
Schedule
Full-time
Work Authorization
Not specified • Visa sponsorship

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The Postdoctoral Associate will conduct research at the intersection of NeuroAI and audiology, focusing on improving auditory prosthetic devices using deep computational models and machine learning, and will collaborate within the Laboratory of Computational Audition at MIT.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningSignal ProcessingDeep LearningAudioScientific PublicationCommunicationPyTorchHigh-Performance ComputingGitHubPsychophysicsHuman ParticipantsClinical PopulationsSystems NeuroscienceAuditory ProstheticsCochlear ImplantsHearing AidsNeural Stimulation Technology

Qualifications

PhD in Quantitative Science

Full job description

Postdoctoral Associate

  • Job Number: 26113

  • Functional Area: Research - Scientific

  • Department: Brain & Cognitive Sciences

  • School Area: Science

  • Pay Range Minimum: $73,308

  • Pay Range Maximum: $90,000

  • Employment Type: Full-Time

  • Employment Category: Exempt

  • Visa Sponsorship Available: Yes

  • Schedule:

  • Pay Grade: No Grade

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Posting Description

POSTDOCTORAL ASSOCIATE, Brain and Cognitive Sciences, to join the Laboratory of Computational Audition (https://mcdermottlab.mit.edu/) (PI: Josh McDermott (https://web.mit.edu/jhm/www/) ). The postdoctoral associate is responsible for conducting research at the intersection of NeuroAI and audiology, with the goal of understanding and improving auditory prosthetic devices (cochlear implants and hearing aids) using models of auditory perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled hearing, as described in this pre-print: https://www.biorxiv.org/content/10.1101/2025.07.16.665227v2

The full job description is available here: https://www.dropbox.com/scl/fi/1qx5sh5sxjki1ivmnqvbr/JHM\_PDA\_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0

Job Requirements

REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible computational research; superior oral and written communication skills; experience with scientific publication; excellent interpersonal communication; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED: Computational expertise: Experience with Pytorch, use of high-performance computing, experience with version control tools such as Github; Psychophysics: Some familiarity with psychophysical experimentation and/or experiments with human participants, including sensitivity to the needs of clinical populations; familiarity with systems neuroscience; or familiarity with auditory prosthetics (cochlear implants and/or hearing aids, in particular, familiarity with the underlying signal processing is a plus) and/or neural stimulation technology.9/30/2026

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