Job Description

• Conduct advanced R&D for machine learning/deep learning-based object and scene understanding (e.g., detection, segmentation, recognition).

·         Apply research results to real-world use cases with high quality implementation. 

• Integrate the resulting system/software into existing Bosch platforms.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

BASIC QUALIFICATIONS

• Ph.D. students in Computer Science or Engineering
• Major in computer vision, machine learning, and related fields.
• Hands-on experience on developing perception algorithms, including deep learning approaches for detection, segmentation, tracking, recognition.
• Solid C++ programming skill and/or python programming
• Proficient with deep learning libraries (Pytorch, TensorFlow, MXNet, Caffe, etc)

PREFERRED QUALIFICATIONS

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

Additional Information

• MAJOR(S): Computer Science or related fields  
• DEGREE LEVEL: Ph.D. or Master – Must be a current student or recent graduate (less than 1 year)  
• START DATE: Summer 2021
• DURATION: 3 months

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)