Lead Research Scientist – AI and Edge Platforms for Hearing Aids

GN Group; Ballerup; On-site; DKK 1,000,000 - 1,400,000; Full time

Job summary

GN Group in Denmark is seeking a Lead Research Scientist to connect AI algorithms, edge processing and hardware-platform development for next-generation hearing-aid technology.

You will align AI research, signal-processing and hardware to maximize platform capabilities and shape future GN platforms, working across research, algorithms, platforms and hardware.

The role emphasizes collaboration, technical leadership and delivering clear recommendations to GN's long-term roadmap.

Qualifications

• PhD in ML, signal processing, embedded systems, or related field.
• Strong understanding of AI and efficient inference on resource-constrained hardware.
• Experience collaborating across algorithm, software, system architecture and hardware disciplines.

Responsibilities

• 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

Skills

AI algorithms

Edge processing

Hardware platforms

Cross-functional collaboration

Education

PhD in ML / signal processing / embedded systems

Tools

Audio processing

Edge computing

Hardware platforms

Job description

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 research and development environment focused on advancing intelligent hearing technologies for people with hearing loss. Working across research, algorithms, platforms and hardware, the team translates emerging technology into solutions that support real-life communication needs.

Our culture is collaborative, curious and grounded in technical rigour. We work across disciplines to understand user needs, evaluate technical trade-offs and turn research insights into practical platform decisions and future technology directions.

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 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.

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.