In this internship, you will conduct advanced research and engineering in 3D perception, scene understanding, and machine learning to address challenges in autonomous systems.
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.
Currently enrolled and pursing a Ph.D. or Master student in Computer Science or related fields
Hands-on experience on developing computer vision and deep learning algorithms with focus on at least two of the following areas: multimodal transformers, diffusion models, NeRF/Gaussian Splatting, video generation, 3D scene understanding, autonomous driving, behavior modeling/prediction, SfM, voxel/BEV grid-based feature representation.
Solid python and/or C++ programming skills and proficient with libraries such as OpenCV, Tensorflow, and PyTorch.
Minimum GPA of 3.0
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 cameras, depth sensors, IMU, LIDAR, etc.
Able to work independently, has strong research and problem-solving skills.