FAQs
What is the primary focus of the Autonomous Driving Research Intern role at Bosch?
The primary focus of the role is to contribute to AI research in areas such as foundation models, big data visual analytics, explainable AI, computer vision, and autonomous driving, with the goal of developing scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services.
What specific technologies and areas does the Computer Vision group work on?
The Computer Vision group works on cutting-edge technologies and prototypes in multimodal understanding, vision foundation models, autonomous driving, robotics, and mixed reality. Their expertise includes 3D perception, object detection, segmentation, tracking, pose estimation, sensor fusion, reinforcement learning, and adaptive robot control.
What types of projects or challenges will the intern be involved with?
The intern will be involved with innovative solutions to challenging problems in areas related to autonomous systems, such as enhancing user experience, developing advanced perception algorithms, and improving planning capabilities within the domains of automated driving and robotics.
Will the intern have the opportunity to collaborate with others?
Yes, the intern will collaborate with internal partners across different Bosch business units to transfer research solutions into future products and actively engage with leading academic and industrial groups to promote research ideas.
Are there opportunities for publishing research findings during this internship?
Yes, the internship provides opportunities to publish research findings in internationally renowned conferences and journals, such as CVPR, ICCV, ICRA, IROS, RSS, ISMAR, ECCV, NeurIPS, ICLR, AAAI, and SIGGRAPH.
In what areas can the skills learned in this internship be applied?
The skills learned in this internship can be applied in various areas, including automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, healthcare, and smart home solutions.
What is the significance of the position being part of a global research team?
Being part of a global research team emphasizes the collaborative and diverse approach to tackling complex challenges in AI and perception, enabling the intern to gain insights from a wide range of perspectives and expertise.
What background or skills are required for this internship?
While specific qualifications are not detailed in the job description, a background in fields such as AI, computer vision, robotics, or related technical disciplines, along with skills in programming and data analysis, would likely be beneficial.