PhD Research Engineer - Acoustics

The position is part of an international Research & Development (R&D) project focused on acoustics, audio signal processing, and Edge AI technologies. The project delivers advanced audio solutions with on-device Machine Learning capabilities targeted for embedded devices.

• PhD or PhD Candidate in Acoustics, Signal Processing, Electronics, Computer Science, or a related field.
• At least 3 years of experience in applied Research & Development (R&D) projects.
• Hands-on experience with acoustics audio signal processing and Digital Signal Processing (DSP).
• Strong proficiency in Python.
• Good knowledge of embedded C/C++.
• Experience with Machine Learning and/or Deep Learning for audio applications.
• Experience with TinyML, Embedded AI, or Edge AI.
• Experience deploying Machine Learning models on microcontrollers.
• Solid understanding of embedded systems and microcontroller-based development.
• Knowledge of building acoustics, psychoacoustics, or acoustic standards and regulations considered an advantage.
• English proficiency at B2/C1 level or higher.

• Design and develop advanced audio signal processing algorithms.
• Develop Digital Signal Processing (DSP) solutions for audio applications.
• Design, train, and optimize Machine Learning and Deep Learning models for audio data.
• Implement TinyML and Embedded AI models on resource-constrained embedded devices.
• Develop embedded software in C/C++.
• Build and optimize On-device Machine Learning solutions.
• Collaborate with cross-functional R&D teams to develop next-generation audio technologies.
• Contribute to projects involving acoustics, psychoacoustics, and audio signal analysis.

Only candidates located in Poland are considered for this position.