Lead Research Scientist – AI and Edge Platforms for Hearing Aids

Are you committed to turning advanced AI research into high-impact hearing-aid technology?

We are looking for a Lead Research Scientist to connect AI algorithms, edge processing and hardware-platform development.

In the role of Lead Research Scientist you will align AI research, signal-processing algorithms and hardware development to maximise the potential of current platforms and help define the capabilities needed for future hearing-aid platforms.

The Team you will be part of:

You will join a global research team of 28 colleagues across Ballerup, Eindhoven, Glenview and Shakopee.

We work at the intersection of hearing science, acoustics, psychoacoustics, signal processing, human-computer interaction and machine learning to develop technologies for future hearing aids that address real-life communication challenges for people with hearing loss.

Our culture is open, collaborative and driven by scientific curiosity. Working closely with audiologists, algorithm developers, platform specialists and product teams across our organization, we combine rigorous research with user-centred innovation.

We challenge established approaches constructively and work together to create quality sound experiences and meaningful end-user benefits.

Your contribution is appreciated, and you will:

• Guide the technical alignment between AI research, audio-processing algorithms and hearing-aid processing platforms
• Assess emerging AI methods and translate their implications into platform requirements, architecture choices and development priorities
• Identify opportunities to maximise algorithm performance, efficiency and functionality on current hearing-aid platforms
• Partner with IC design and hardware-development teams to help shape future processing platforms
• Define and communicate requirements for computational capability, memory, power consumption, data movement, latency and programmability
• Guide explorations of efficient edge AI, including algorithm–hardware co-optimisation and practical deployment strategies
• Build collaboration across research, algorithm, platform and hardware disciplines, and contribute clear technical recommendations to GN’s long-term technology roadmap

To perform well in the role, we imagine that you:

• Hold a PhD in machine learning, signal processing, embedded systems, electrical engineering, computer science or a related field
• Bring a deep understanding of the relationship between AI algorithms, efficient inference and resource-constrained hardware platforms
• Have experience collaborating across algorithm, software, system architecture and hardware or IC-development disciplines
• Can translate complex technical opportunities into clear platform requirements, trade-offs and strategic recommendations
• Bring curiosity, collaborative technical leadership and the ability to challenge established assumptions constructively; experience with audio or speech processing, low-power edge computing, hardware-aware AI, real-time embedded systems, hearing-aid technology, IC design, platform architecture, scientific publishing or intellectual-property development is beneficial

We pride ourselves on encouraging flexible work whenever possible. We trust our people to fulfill their responsibilities, to know when in-person collaboration is better than hybrid, and to be present when it's needed most.

We encourage you to apply
Even if you don’t match all the above-mentioned skills, we welcome your application if you think you have transferable skills. We highly value a mindset and motivation that align with our core values, to not only ensure growth for you, but for your team and the wider organization as well.

We are focused on 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 know upon accepting the invitation to the interview.

How to apply?
Use the ‘APPLY’ link no later than September 29. Applications are assessed continuously, so do not wait to send yours.

Feel free to only submit your up-to-date CV, including a few sentences outlining your motivation for applying.

Join us in bringing people closer
GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss to overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.

GN Store Nord A/S has entered into a definitive agreement for the sale of GN’s Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement here.

We hope you will join us on this journey and look forward to receiving your application.

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