Job Description

• Develop state-of-the-art machine learning based audio signal processing and analysis technologies and modules
• Collaborate with other colleagues to integrate audio signal processing and analysis modules into the prototype systems for Bosch Audio Event Detection applications and improve the performance with various technologies
• Summarize research findings in high-quality paper and/or patent submissions

Qualifications

BASIC QUALIFICATION:

The ideal candidate is familiar with the following skill sets:

• Strong background in audio signal processing, machine learning and related fields
• Hands-on experience of audio event detection or audio scene classification technologies
• Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits
• Good communication and team-working skills
• Proficient with C/C++ and/or python programming
• Proficient with Matlab

_PREFERRED QUALIFICATION: _

• Publication record in top machine learning and audio analytics venues (e.g. ICASSP, Interspeech, AAAI, ICML).
• Experience on noise cancellation or source separation
• Experience on audio signal localization

Additional Information

• MAJOR(S): Computer Science, Electrical Engineering or related fields
• DEGREE LEVEL: Ph.D. – Must be a current student or recent graduate (less than 1 year)
• START DATE: Summer 2021
• DURATION: 3 – 6 months

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World in Motion)