As the largest institute within the Fraunhofer-Gesellschaft, we have been conducting research for over 30 years in diverse fields such as artificial intelligence, microelectronics, sensor systems, data collection, signal processing and transmission. Talents from various engineering and natural science disciplines will find a wide range of exciting research topics under a single roof. A few highlights that reflect our innovative strength: Neuromorphic computing, 5G/6G mobile communication technologies, generative AI in speech and signal processing, and X-ray imaging for e-mobility. And that’s just the beginning! Which sustainable solutions will you find with us?

The department AME-A develops innovative codecs for the transmission of audio signals. Our solutions are suitable for a wide range of signals—from speech and music to immersive 3D audio—across a broad spectrum of bitrates and are already being successfully used by major providers in the streaming and broadcast industries.

• Machine Learning: You implement neural network components and architectures, develop training and evaluation pipelines, and analyze model performance to continuously improve results.
• Audio & Data Processing: You create and prepare training datasets, process audio data using signal processing techniques, and support the design and evaluation of listening tests
• Development & Optimization: You contribute to the development of AI-based audio compression solutions by training and evaluating models, optimizing workflows, and improving model performance.

• You are currently studying Computer Science, Electrical Engineering, Data Science, Artificial Intelligence or a related field.
• You have a basic understanding of Machine Learning / Deep Learning and are familiar with signal processing concepts and audio data (e.g., sampling rate, FFT, spectrograms).
• You have strong programming skills in Python and enjoy implementing and experimenting with machine learning models.
• You are familiar with Git and have basic experience working in a Linux environment
• You are interested in audio compression and motivated to contribute to innovative AI-based research and development projects.