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Reporting to the senior audio R&D scientist, the audio R&D scientist is responsible for developing audio signal processing algorithms and applications for in-ear technologies. The position involves addressing specific audio signal processing and optimization/machine learning challenges and will require an in-depth understanding of these processes and extensive experimentation. The candidate should keep practical implementation in mind and, depending on their skills, be responsible for deploying and testing their work on an integrated platform.

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Responsibilities

  • Characterize audio signals using FFT, spectrograms, transient separation, formant analysis, envelope extraction, etc.
  • Participate in the design and characterization of signal processing algorithms and machine learning systems
  • Implement audio processing algorithms on MATLAB/Python/JUCE, taking into account the implementation requirements of real-time and embedded systems
  • Design and optimize FIR/IIR filters
  • Summarize, document and communicate results, solutions and strategies.
  • Take part in acoustic measurements, data collection, develop experimental protocols, organize user studies.

Company Profile: Pvisio

Pvisio (short for professional vision) is backed by FL Fuller Landau LLP– a mid-sized chartered professional accountancy and business advisory firm that offers the depth and services of a large firm while providing the personal interaction and attention to detail clients would expect from a boutique firm. This backing has allowed Pvisio to offer so much more than accounting services. Clients looking for HR, virtual financial consulting, bookkeeping, and people & culture services will find all of these and more all under one roof, saving them valuable time better spent growing their business.  

Missing a skill?

This role demands a thorough understanding of DAWs (such as Audacity and Reaper), experience with sound and recording equipment (microphones, audio interfaces and loudspeakers), and expertise in one or more of the following:  denoising, dynamic equalizers, limiters/maximizers, compressors, active noise cancellation, feedback control, and echo cancellation. If you’re interested in these types of roles and need help meeting the requirements, please contact our admissions team.