Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group's interests in Southeast Asia where it is present in all ASEAN member countries. Business operations in these countries report to Robert Bosch (South East Asia) Pte Ltd, located in Singapore. Bosch has been present in Southeast Asia since 1919, with diversified businesses in the company's four business sectors - Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Bosch's strategic objective is to improve quality of life with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”
At Bosch, we care. For you, our business, and our environment.
Let’s turn visions into reality. At Bosch,we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility or industry. Our responsibility goes far beyond business. We’re independent of stock markets and bound to the purpose of the Robert Bosch Foundation; our success directly benefits society, the environment, and future generations. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
Let’s be remarkable.
As an intern for AI research engineer, the candidate will work on developing AI methods or solutions related to computer vision tasks for autonomous disassembly process. The candidate will focus on the following tasks:
• Understand the typical process and challenges for automated disassembly.
• Collect information on different types of defects and damages for automotive parts.
• Conduct comprehensive evaluation on collected data and derive systematic categorization.
• Develop advanced computer vision algorithm for object detection, segmentation and pose estimation using state-of-the-art methodologies.
• Explore potential solutions to handle unexpected defects.
• Integrate the algorithm into software and hardware platform.
• Closely collaborate and communicate with other team members.
• Able to work full time for a period of 6 months (i.e., August 2024 onwards)
• Undergraduate/graduate studies in related field AI/Machine Vision from Electrical Engineering, Mechanical Engineering, Computer Science or Computer Engineering
• Advanced knowledge in Machine Learning, Deep Leaning, Computer Vision, Deep Learning framework like Tensorflow/Pytorch
• Good programming in Python, C++
• Independent learning and self-motivated
• Passion for research and emerging technologies