Senior Audio Research Engineer - DSP & ML
Eindhoven, Netherlands
GN Group
The GN Group is a global leader in intelligent audio solutions that let you hear more, do more and be more than you ever thought possibleWould you like to work in a group where innovation matters and where you collaborate with other skilled minds?
This is your chance to play an important role in a team of highly professional international researchers and engineers. At the same time, you will become part of an organization making life sound better for millions of hearing-impaired people around the world.
The GN Hearing Eindhoven R&D department: Center-of-Excellence for intelligent audio solutions
At our GN Hearing R&D office in Eindhoven, we work on algorithm design and technology innovations that lead to software solutions that improve life for people with hearing needs. The team specializes in digital signal processing (DSP) and machine learning (ML) for future intelligent audio solutions. We are expanding our algorithm prototype activities and would like to welcome a new research scientist/engineer who would like to change the hearing world.
As Senior Audio Research Engineer your will design and develop real time audio applications for hearing instruments/hearables and propose feasible algorithm solutions in code that fit within GN’s embedded chip technology constraints and present results and pitch feasible applications at different levels within the organization.
Furthermore, you have to follow relevant research on speech processing (e.g. by attending conferences) and setup simulation experiments and real time audio emulation.
Collaboration, communication and building relationship with internal stakeholders will be of great importance.
Moreover, you have to support IP portfolio of GN by generating and submitting patent ideas to GNs patent department and occasionally travel to our headquarter in Denmark.
Your profile
PhD in signal processing or machine learning, such as Electrical Engineering background
Experience with embedded software for DSP/ML. (MATLAB DSP, C, Python,TensorFlow, DNN, Edge AI)
Experience in algorithm design for multi-channel noise reduction
Experience in downscaling algorithm complexity for constraint embedded purposes
Versatile programming skills and familiarity with agile software processes and version control
Understanding of hearing science, acoustics and psychoacoustics is beneficial
You want to see your ideas in action and put to product!
Fluent in English (verbally and written)
Location: Eindhoven, Netherlands
We offer
A collaborative applied research environment at a central location on the Eindhoven University of Technology campus (building Kennispoort). A small team atmosphere in a large company with ample opportunities. Opportunity to attend conferences. Support for a professional career path – developing technical leadership is highly encouraged and supported.
We encourage you to apply
We highly value a mindset, motivation, and energy, that aligns with our core values, to not only ensure growth for you, but for your team and the wider GN organization as well.
We are committed to an inclusive recruitment process
All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.
Should you have any special requirements for the Interview please let the hiring manager upon accepting invitation to interview.
How to apply?
Use the ‘APPLY’ link no later than January 15th. Applications are assessed on a continuous basis, so don’t wait to send yours.
On a time crunch?
Feel free to only submit your up-to-date CV including a few sentences outlining your motivation for applying – quick and easy.
If you want to know more about the position, you are welcome to contact Almer van den Berg - avdberg@gnresound.com, department Audio Technology
Join us in bringing people closer
GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhance the senses of hearing and sight. We enable people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiast.
We hope you will join us on this journey and look forward to receiving your application.
#LI-GNGroup
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Engineering Machine Learning Matlab PhD Python R R&D Research TensorFlow
Perks/benefits: Career development Conferences Team events
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