Research Associate – Deep Learning for Speech and Audio Coding (all genders)

Fraunhofer Institute for Integrated Circuits IIS

The Fraunhofer-Gesellschaft is Europe's leading organization for applied research, operating 76 institutes and research institutions across Germany. With approximately 32,000 employees and an annual research budget of 3.4 billion euros, Fraunhofer is a global leader in applied research. The Fraunhofer Institute for Integrated Circuits IIS in Erlangen, our largest institute, boasts over 1,200 employees and a 30-year history of research in fields like artificial intelligence, microelectronics, sensor systems, data acquisition, signal processing, and signal transmission. We offer a diverse range of research topics for talented individuals in engineering and natural sciences, including neuromorphic computing, 5G/6G mobile communication technologies, generative AI in speech and signal processing, and X-ray imaging for e-mobility.

Your Role: Research Associate – Deep Learning for Speech and Audio Coding

Are you an ambitious research engineer or scientist eager to develop cutting-edge technologies using deep neural network learning? Join us to make a significant impact!

Speech & Audio Coding Innovation

Contribute to state-of-the-art research in speech and audio coding. Investigate novel approaches to complex signal processing challenges, with a primary focus on speech and audio coding for communication applications.

Generative AI in Speech Coding

Explore advanced machine learning techniques, including generative AI methods like Generative Adversarial Networks (GANs), diffusion-based models (e.g., DDPMs), and transformer architectures. Assess their suitability and impact for deep neural network-based speech and audio coding.

Data-driven Signal Processing

Study, develop, and apply new machine learning concepts for efficient representation and synthesis of speech and audio signals.

On-device Deployment

Translate advanced models into practical, real-time solutions optimized for resource-constrained mobile and embedded devices.

Your Profile

• A scientific degree (Master's, Ph.D., or equivalent) in Electrical Engineering, Computer Science, Engineering Sciences, Media Technologies, or a related field.
• Expertise in machine learning and deep neural networks, with a focus on generative AI (e.g., GANs, diffusion-based models, transformers).
• A strong background in digital signal processing, particularly in speech and audio processing/analysis.
• Proficiency in Python and C/C++, along with experience in deep learning frameworks (e.g., PyTorch).
• Fluency in English for effective collaboration within an international team.

What We Offer

Fraunhofer is a top employer offering an exciting work environment at a global market leader.

• Innovative Projects: Engage in projects with a strong practical component that drive innovation.
• Creative Freedom: Our committed teams provide freedom for your ideas and room for creativity.
• Supportive Onboarding: A structured onboarding process ensures a smooth integration into the institute and helps you build your network.
• Work-Life Balance: Benefit from flexible working hours and hybrid work options.
• Community & Events: Numerous opportunities to connect with colleagues through community rooms, sports activities (on-site and online), and various events.
• Positive Work Culture: Experience an open-minded environment built on mutual help and trust.
• State-of-the-Art Infrastructure: Work with cutting-edge technologies to develop future-oriented solutions.
• Talent Development: We foster talent from an early age and offer ongoing professional and personal development opportunities, including seminars, coaching, and language courses.
• Equal Opportunity: We are committed to equal opportunities, with initiatives like the career program >>Fraunhofer TALENTA<< for female scientists.
• Convenient Amenities: Enjoy benefits such as subsidized parking, EV charging stations, secure bicycle parking, free showers, and a subsidized Deutschlandticket (job ticket) with nearby bus stops.
• Health Management: Our in-house program offers sports activities, running groups, and relaxation seminars.

Working Hours: 39 hours per week. Part-time employment is possible, ideally close to full-time. Contract: Initially limited to 2 years, with the possibility of extension. Compensation: Based on the public-sector collective wage agreement (TVöD).

We value and promote diversity and welcome all applications regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, or identity. We collaborate closely with applicants with disabilities to find optimal solutions that leverage their abilities.

Fraunhofer plays a crucial role in the innovation process by developing key future technologies and enabling their commercialization. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer shapes society today and for the future.

Ready to Make a Difference?

Click the >>Apply online<< button to join us! You will receive an automatic confirmation upon submission, followed by information on the next steps.

Questions? Contact our recruiter, Claudia Kestler-Böhm, at +49 9131 776-1654.

Fraunhofer Institute for Integrated Circuits IIS www.iis.fraunhofer.de