Speech Perception Scientist

Overview:

We are seeking a contract applied research scientist specializing in the perception of tonal languages.

This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.

Responsibilities:

• Oversee and drive Audio/Listening research projects on speech quality, statistically analyze results and report findings.
• Monitor problems, facilitate resolution, and proactively keep projects on track.
• Implement and conduct pilot listening tests and other perceptual experiences.
• Regularly report on project progress, dependencies and risks to stakeholders.
• Support research scientists and engineers within the team.
• Manage procurement projects for equipment and vendor services.
• Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals.

Minimum qualifications:

• Interpersonal and communication skills, with strong attention to detail.
• Proactive with ability to execute on multiple projects simultaneously.
• Strong organizational and time management skills.
• Track record of communicating research on speech perception, hearing sciences or auditory
• perception in an academic or industrial setting.
• Experience with data collection with human participants.
• Experience working in a fast-paced research and/or product development environment.
• Experience with scientific programming languages such as Matlab, Python, C , or R.
• Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science,
• Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics,
• Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology
• or a related field.

Preferred qualifications

• Experience with tonal languages (Mandarin, Cantonese, etc.)
• PhD degree or equivalent experience.
• Experience with AI generative speech.
• Experience with modeling audio quality