Job Description

• Conduct advanced research and engineering in visual analytics and eXplainable AI (XAI) for related business domains of autonomous driving, connected vehicles, Industry 4.0, IoT, car multimedia etc.
• Apply research results to real-world use cases with high quality implementation
• Integrate the resulting systems/software into existing Bosch platforms
• Summarize research findings in high-quality paper and patent submissions

Qualifications

REQUIRED:

• Ph.D students in Computer Science or related fields
• Major in visual analytics, eXplainable AI (XAI), applied machine learning and related fields
• 2+ years’ experience in full stack web development with both frontend (e.g., React, Vue.js, and D3.js) and backend (e.g., Flask, Django)
• 2+ years’ programming experience with one or more scripting or statistical programming languages (e.g., Python, R)

DESIRED: 

• Publication record in top venues of visualization, data mining, or machine learning research (e.g., IEEE VIS, TVCG, SIGKDD, NeurIPS, CVPR, AAAI, ICML, and ICRL);
• Knowledge in machine learning and data mining, with application to eXplainable AI, high-dimensional data analysis, event sequence/log mining and computer vision
• Familiar with one or more main-stream machine learning platforms (e.g., scikit-learn, TensorFlow, and PyTorch)
• Experience in human-in-the-loop and human-AI teaming research methods
• Experience in conducting mixed-method user research (e.g., surveys, controlled experiments, interviews, etc)
• Knowledge in interaction and user experience design
• Good communication and teamwork skills

Additional Information

All your information will be kept confidential according to EEO guidelines.

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)

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.