- Design, implementation, and validation of novel algorithms to solve spatial audio research problems
- Experimental design, implementation, and execution to evaluate new audio technologies
- Collaboration with and support of other researchers across audio and acoustic engineering disciplines
- Communication of research agenda, progress, and results
- Currently has, or is in the process of obtaining a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
- 2+ years experience working with interactive binaural audio technologies, acoustic simulation techniques, or acoustic measurements related to spatial-audio capture
- 2+ years of coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB
- Expertise in one or more of the below research areas: Numerical Simulation of Acoustics, Binaural Audio Technology, Head Related Transfer Functions, Acoustic Propagation and Room Acoustics, Blind Acoustic System Identification, Auralization
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with room acoustic simulation, auralization, or sound synthesis
- Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
- Experience with Unity, Unreal, CryEngine, or similar game engines
- Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc.
- Intent to return to a degree-program after the completion of the internship/co-op
- Experience working and communicating cross functionally in a team environment
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