Job Description

• Conduct advanced research and engineering for human activity recognition and motion detection using machine learning with multiple devices and sensors.
• Apply research results to industry 4.0 use cases with high quality implementation.
• Integrate the resulting system/software into existing Bosch platforms.
• Summarize research findings in high-quality paper and patent submissions.

Qualifications

REQUIRED:

• Ph.D students in Computer Science, Electrical Engineering or related fields.
• Strong background in machine learning, time-series analysis, signal processing, and related fields.
• Knowledge and practical experience in human activity recognition and gesture recognition.
• 2+ years’ programming experience with one or more scripting or statistical programming languages (e.g. Python).

DESIRED: 

• Experience in human motion recognition systems.
• Experience in inertial measurement unit (IMU) sensors for motion capture and sensor fusion.
• Publication record in top venues of machine learning, human computer interaction and signal processing research (ICML, CVPR, ICCV, AAAI, SIGKDD, Ubicomp, and etc.)
• Familiar with one or more main-stream machine learning platforms (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong research and problem solving skills.
• Good communication and teamwork skills.

Additional Information

• MAJOR(S): Computer Science, Electrical Engineering or related fields
• DEGREE LEVEL: Ph.D Candidates
• START DATE: May, 2020

REQUIRED APPLICATION MATERIALS:

• Resume/CV
• Please indicate the desired internship time frame

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)