
Internship - Speech Recognition for Robotics (f/m/div)
Infineon Technologies2 months ago
Villach, AustriaIntern
Responsibilities
- Apply Infineon microphones to speech recognition in humanoid or quadruped robotics applications.
- Develop and characterize audio technologies with Infineon and a MEMS microphone supplier.
- Implement software to analyze sensor measurements, make decisions, and control the robot.
- Validate algorithms on real hardware, analyze and report data, and present findings to colleagues.
- Explore sensing concepts, machine-learning algorithms, data processing, and visualization.
- Collaborate between Infineon Villach and the Institute of Smart System Technologies at the University of Klagenfurt.
Requirements
- Be a motivated and committed master’s student in robotics, electronics, or electrical engineering, focused on audio engineering, sensor signal processing, or a similar field.
- Have a background in acoustics, signal processing, and machine learning.
- Be proficient in C, C++, Python, or MATLAB.
- Have familiarity with Robot Operating System 2 (ROS2), preferred.
- Have very good English skills.
Benefits
- Temporary internship for a minimum of six months.
- Part-time or full-time employment with flexible Monday-to-Friday hours between 6 a.m. and 7 p.m.
- Potential extension from the internship into a master’s thesis.
- Academic supervision through the University of Klagenfurt or another university subject to approval.
- Work collaboration between Infineon Villach and the University of Klagenfurt.
About Infineon Technologies
Infineon Technologies designs and manufactures semiconductors for automotive, industrial, and IoT applications, including power devices, microcontrollers, sensors, and security ICs. The Germany-based public company, spun out of Siemens in 1999 and headquartered in Neubiberg near Munich, sells chips and reference solutions to OEMs and device makers worldwide. It trades on the Frankfurt Stock Exchange (ETR: IFX) and expanded its portfolio with the 2020 acquisition of Cypress Semiconductor.