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.

Aufgaben

• 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.

Qualifikation

• 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.

Benefits

• 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.

Elevear is a dynamic deep-tech startup based in Aachen, Germany, dedicated to revolutionizing the world of audio through cutting-edge technology. Our mission is to elevate your hearing experience by developing state-of-the-art audio signal processing algorithms. We specialize in licensing these groundbreaking solutions to prominent players in the hearables, headphones, and hearing aid industries. Our core focus includes active noise and occlusion cancellation, speech enhancement, spatial audio processing, and much more.