Bose is looking to develop novel solutions for noise cancellation in cars by leveraging current advances at the intersection of Machine Learning (ML) and noise control.
Requirements
- Strong working knowledge of Machine Learning and Data Analysis supported by a background in Digital Signal Processing.
- Basic and advanced courses in ML and DSP.
- The primary working language will be Python and/or MATLAB with an ML backend of TensorFlow/Pytorch.
Responsibilities
- design and validate new algorithms to improve noise cancellation performance, customization, scalability and generalizability of deployed solutions
- Literature review of latest advancements in ML based algorithms for noise control applications
- Help modularize our current classical-DSP based solutions using machine learning
- Build on existing framework and deliver a deployable model on hardware
- collaborating with others in the team and working at the interface of DSP and ML based algorithms
- working with large amounts of data collected in the laboratory and in the field
- working with hardware during model deployment
Other
- Masters degree in Electrical Engineering, Computer Science, Acoustical Engineering, Mechanical Engineering or a related field.
- Strong communication skills with a proven track record of publishing research articles.
- Doctoral degree, 3rd year PhD and above
