Lifelong/Continual Learning Intern

Job title: Lifelong/Continual Learning Intern

Job description: Company Description

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 our global research unit, our Mixed Reality and Autonomous System group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the field of mixed reality and robotics, including object detection, segmentation, tracking and pose estimation, 3D reconstruction and understanding, visual localization, sensor fusion, reinforcement learning and adaptive robot control. We focus on developing innovative solutions to hard challenges in computer vision and robotics, needed for human interaction with intelligent and autonomous systems. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. 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., ISMAR, ICRA, CVPR, ICCV, SIGGRAPH, RSS, ICML, NeurIPs.

Job Description

• Conduct advanced R&D for machine learning/deep learning-based lifelong/continual learning.
• Apply research results to real-world applications with high quality implementation
• Integrate the resulting system/software into existing Bosch platform
• Summarize research findings in high-quality paper and/or patent submissions

Qualifications

Basic Qualifications

• Ph.D. student on Computer Science, Computer Engineering, or related fields (Must be a current student or recent graduate – less than 1 year)
• Hands-on experience on developing lifelong / continual learning algorithms, including deep learning approaches for perception tasks (detection, segmentation, tracking, recognition, from 2D, 2.5D, and/or 3D data).
• Knowledge in eXplainable AI and Human-in-the-loop approaches for perception tasks
• Solid python and/or C++ programming skills.
• Proficient with deep learning libraries (Pytorch, TensorFlow, MXNet, Caffe, etc.)

Preferred Qualifications

• Publication record in top venues including CVPR, ICCV, IROS, ICRA, ISMAR, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.
• Experience in working with hardware systems including sensors such as RGBD cameras, depth sensors, IMU, LIDAR, etc in robotics applications.
• Able to work independently, has strong research and problem-solving skills
• Good communication and teamwork skills

Additional Information

Duration: 3 months

Start Date: Summer 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)
• AWIM (A World in Motion)

Company: Bosch

Expected salary:

Location: Mississauga, ON

Job date: Thu, 13 Jan 2022 23:31:05 GMT

Job Source: Careerjet.ca

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