Research Scientist Intern, VR Audio System (PhD)

Meta • Redmond, WA

1d

About The Position

We are seeking a Research Intern to join our Audio team. This position will focus on estimating the effective low-frequency corner (ELFC) of audio render systems based on its hardware system capability (distortion). This internship offers hands-on experience in simulation, signal processing, and system modeling with mentorship from an experienced audio engineering team of architects and researchers. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

• Currently has or is in the process of obtaining a PhD in the field of Electrical Engineering, Computer Science, Acoustics, Physics, or related field
• Demonstrated expertise with COMSOL, Python (NumPy, SciPy, Matplotlib) and/or MATLAB for simulation and data analysis
• Proven analytical and problem-solving skills
• Intent to return to degree program after the completion of the internship/co-op
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Nice To Haves

• Demonstrated knowledge of audio render systems (loudspeakers)
• Demonstrated experience in the areas of audio system design
• Experience working and communicating cross functionally in a team environment
• Interest in VR systems, audio technology, and signal processing

Responsibilities

• Understand VR render pipeline: learn the key stages in VR render systems, focusing on low-frequency signal reproduction, and the relationship between transducer distortion and low frequency output.
• Leverage Simulation Methodology and develop as needed: Design and implement simulations to generate sinusoidal inputs and model system responses.
• Define and Calculate ELFC: Establish a quantifiable metric for ELFC using simulated data, analyzing factors like phase shift and amplitude attenuation.
• Correlate ELFC with System Capability: Investigate and model the relationship between ELFC and hardware system capability using statistical analysis.
• Document and Present Findings: Prepare comprehensive reports and deliver a final presentation summarizing methodology, results, and recommendations.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree