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Research Scientist Intern, Hearing Science and Auditory Perception (PhD)

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Meta

6d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Engineering
  • Redmond

AI generated summary

  • You must be pursuing a PhD in Hearing Science or related field, with 1+ year in coding (MATLAB, Python), stats/machine learning, and binaural rendering/signal processing.
  • You will conduct research on perception and speech intelligibility, develop algorithms, execute experiments, and collaborate with other researchers in audio and acoustics.

Requirements

  • Currently has, or is in the process of obtaining, a PhD and in the field of Hearing Science, Neuroscience, Signal Processing or similar or a related field
  • 1+ years of experience in MATLAB, Python, C/C++, or equivalent programming language
  • 1+ years of experience in statistics and/or machine learning at the doctoral level
  • 1+ years of experience in binaural rendering, spatial hearing, or signal processing
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Responsibilities

  • Basic and applied research on perception and speech intelligibility, with a goal of solving problems in spatial audio and/or hearing assistance
  • Communication of research agenda, progress, and full analyses of results
  • Design and implementation of novel algorithms to solve audio research problems
  • Experimental design, implementation, and execution to evaluate new audio technologies
  • Collaboration with other researchers across audio and acoustic engineering disciplines

FAQs

What is the duration of the internship for the Research Scientist Intern position?

The internship lasts between twelve (12) to twenty-four (24) weeks.

What are the minimum qualifications required for this internship?

Candidates should be currently obtaining a PhD in Hearing Science, Neuroscience, Signal Processing, or a related field, with at least 1+ years of experience in MATLAB, Python, C/C++, statistics and/or machine learning, and binaural rendering or signal processing.

What types of experience are preferred for this position?

Preferred qualifications include experience in human auditory spatial and speech perception, real-time audio algorithms development, and a proven track record through grants, fellowships, or first-authored publications in relevant journals or conferences.

Do applicants need to have work authorization for employment?

Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing authorization during employment.

What kind of research will the intern be involved in?

The intern will engage in basic and applied research on perception and speech intelligibility, addressing problems in spatial audio and hearing assistance.

Is there an intention for interns to return to their degree programs after the internship?

Yes, it is preferred that candidates have the intent to return to their degree programs following the completion of the internship.

What is the compensation range for this internship?

The compensation ranges from $7,500 to $11,333 per month, depending on skills, qualifications, experience, and location, excluding additional bonuses, equity, or sales incentives.

Are there opportunities for collaboration in this role?

Yes, interns will collaborate with other researchers across audio and acoustic engineering disciplines.

How should candidates with disabilities request accommodations during the recruiting process?

Candidates needing assistance or accommodations due to a disability should reach out to accommodations-ext@fb.com.

What disciplines are encompassed by the research audio team at Meta?

The research audio team focuses on creating virtual sounds perceptually indistinguishable from reality and redefining human hearing, involving disciplines like audiology, hearing science, signal processing, and neuroscience.

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.