Job Description

• Conduct advanced research and development for deep learning based scene understanding (e.g., object detection, semantic segmentation, image classification, multi-modality sensor fusion) to overcome challenges in real-world datasets.
• Collaborate with deep learning team members for joint discussion and development.
• Integrate the proposed solutions into existing Bosch software package or platform.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

REQUIRED QUALIFICATION:

• Pursuing a PhD or Master degree in Computer Science, Data Science, Electrical Engineering, or Mathematics
• Solid understanding of fundamental and cutting edge computer vision and deep learning
• Strong general programming skills with Python
• Strong deep learning programming skills with TensorFlow, Keras, or PyTorch
• Ability to work independently
• Excellent communication skills

DESIRED QUALIFICATION:

• Solid knowledge and experience with object detection e.g., YOLO, SSD, RetinaNet…etc.
• Solid knowledge and experience with neural architecture search e.g., ProxylessNAS, ENAS, DARTS…etc
• Solid knowledge and experience with sensor fusion using LiDAR and camera.
• Publication record in top AI conferences (CVPR/ICCV/ECCV/NeurIPS/ICLR/AAAI/ICML, etc)

Additional Information

DURATION: 12-24 weeks

START DATE: Winter/Spring/Summer 2022

DEGREE LEVEL: PhD or Master – Must be a current student or recent graduate (less than 1 year)

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)