Visual Analytics & eXplainable AI Intern

Visual Analytics & eXplainable AI Intern

• Contract
• Legal Entity: ROBERT BOSCH INC.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Integrated Human Machine Intelligence, Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

The focus of our global research on Integrated Human Machine Intelligence includes Big Data Visual Analytics, Explainable AI, Audio Analytics, NLP, Conversational AI, Cloud Robotics, Mixed Reality and Smart Wearables, etc. We develop intuitive, interactive, and intelligent solutions to enable inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Collaboration (HMC) research unit, our Visual Analytics & eXplainable AI group is responsible for shaping the future industrial AI experience for Bosch products and services by combining cutting-edge technologies of machine learning, data analysis and interactive visualization. We research and develop scalable, transparent, and intelligent big data analytic solutions (e.g. audio, images, sensor logs) for various domains including Industry 4.0 (I4.0), IoT, autonomous driving, connected vehicles, etc. With our award-winning talents (IEEE VIS best paper & best paper runner-ups), we also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., IEEE VIS, TVCG, SIGKDD, NeurIPS, AAAI, ICML, ICASSP, Interspeech, and IEEE Signal Processing Magazine.

Responsibilities:

• 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.

Required Qualifications:

• 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)
• Publication record in top venues of visualization, data mining, or machine learning research (e.g., IEEE VIS, TVCG, SIGKDD, NeurIPS, 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 mainstream machine learning platforms (e.g., scikit-learn, TensorFlow, and PyTorch)
• Good communication and teamwork skills.
• Knowledge in interaction and user experience design;
• Knowledge in graphical design

Additional Information:

• Major(s): Computer Science or related fields
• Degree level: Ph.D. Candidates
• Start Date: May, 2022

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)