What are the responsibilities and job description for the Acoustic Research Scientist position at Intelliswift - An LTTS Company?
Role : Acoustic Research Engineer
Duration : 12 Months (Possible Extension)
Location : Redmond WA
We are looking for a contract Acoustic Research Engineer to conduct acoustic measurements, acoustic data processing, and auditory perception experiments, and develop relevant methods and tools leveraging scientific coding skills and expertise in audio signal processing, audio hardware systems, machine learning, and acoustics.
Responsibilities :
Develop systems, user interfaces, and protocols for acoustic and behavioral data acquisition and processing using Python, MATLAB, and MaxMSP.
Analyze and improve the performance of data acquisition systems for audio perception.
Collaborate with multi-disciplinary researchers to integrate data acquisition algorithms into platforms.
Perform acoustic data collection involving complex capture systems, prototype devices, and human subjects in controlled laboratory environments.
Write technical reports and papers describing research results and methodologies.
Minimum Requirements :
Master’s degree in a relevant technical field with 3 years of industry experience in audio technology development, or an equivalent combination of education and experience
3 years experience in designing and performing audio-acoustic experiments in controlled laboratory settings.
3 years of programming experience in Python, MATLAB, or MaxMSP for audio applications
Strong understanding and experience in audio signal processing
Preferred Qualifications :
Expertise in real-time audio coding in C / C
Expertise in any / all psychoacoustics, auditory perception, spatial audio, room acoustics, and physical acoustics
Experience using PyTorch or other machine-learning frameworks
Experience with prototype hardware devices
Experience with motion-tracking systems
Experience with large-scale automated data collection and analysis
Experience designing and setting up acoustic laboratory spaces
Experience working in cross-functional, inter-disciplinary environments
Demonstrated ability to produce high-quality technical reports and / or publications.
Must-Have :
Audio Signal Processing
Strong understanding and experience in audio signal processing is crucial for designing and developing innovative audio technologies.
Programming in Python, MATLAB, or MaxMSP
Proficiency in programming languages such as Python, MATLAB, or MaxMSP is necessary for creating and implementing audio applications.
Acoustic Experimentation
Experience in designing and performing audio-acoustic experiments in controlled laboratory settings is vital for testing and validating audio technologies.
Audio Technology Development
Industry experience in audio technology development, including design, implementation, and testing of audio systems, is essential for success in this field.
Data Analysis and Interpretation
The ability to collect, analyze, and interpret data from audio experiments and applications is critical for making informed decisions and improving audio technology development.
Nice-to-Have Skills :
Real-Time Audio Coding in C / C
Expertise in real-time audio coding in C / C can be beneficial for developing high-performance audio applications.
Machine Learning Frameworks (PyTorch)
Experience with machine learning frameworks like PyTorch can be useful for developing AI-powered audio applications.
Psychoacoustics and Auditory Perception
Knowledge of psychoacoustics and auditory perception can help you design more effective and user-friendly audio systems.
Prototype Hardware Devices
Experience with prototype hardware devices can be valuable for testing and validating new audio technologies.
Motion Tracking Systems / least important
Familiarity with motion tracking systems can be beneficial for developing immersive audio experiences.
Day-to-Day Responsibilities :
Developing and improving systems for acoustic and behavioral data acquisition and processing
Collaborating with researchers to integrate data acquisition algorithms into platforms
Conducting acoustic data collection in controlled laboratory environments
Analyzing and improving the performance of data acquisition systems for audio perception
Writing technical reports and papers describing research results and methodologies
Programming in Python, MATLAB, and MaxMSP
Designing and setting up acoustic laboratory spaces
Working with prototype hardware devices and motion-tracking systems
Conducting experiments and collecting data
Analyzing and interpreting data
Writing and publishing technical reports and papers
