We invite ambitious students to complete their industrial internship, Master’s or Bachelor’s thesis with us, focusing on advanced audio processing, embedded systems, and machine learning. This full-time position offers the chance to delve deeply into innovative projects while receiving expert guidance and support from our technology development team.

• Conduct research and develop innovative machine learning algorithms for adaptive Active Noise Cancellation, adaptive Transparency, Occlusion Cancellation, speech enhancement, noise reduction, and Spatial Audio as part of your thesis project.
• Collaborate with our team to integrate your research findings into practical applications.
• Write and document your thesis, contributing to both academic and industry knowledge.
• Engage in code development, optimization, and testing processes related to your research.

• Enrolled in a Master’s or Bachelor’s program in Electrical Engineering, Computer Science, or a related field.
• Strong academic background in audio processing, embedded systems, and machine learning.
• Proficiency in programming languages such as C/C++, Python, and MATLAB.
• Excellent research and analytical skills.
• Passion for advancing audio technology, acoustics, and machine learning.

• Conduct impactful research with guidance from industry experts.
• Gain hands-on experience in a dynamic startup environment.
• Opportunity to publish your work and contribute to the audio industry.
• Flexible working conditions to support your academic progress.