Description
Bosch is seeking a research scientist to design next-generation embodied intelligence models and robot-learning architectures. The role focuses on VLA, World Model, Diffusion, and other technologies for end-to-end visual understanding, task planning, and robot action generation, while developing robot data generation, model training, and system-verification methods. The scientist will build a closed-loop learning system from simulation to real robots and improve robot generalization, reliability, and repeated execution in complex industrial environments. The position requires a doctoral degree in computer science, artificial intelligence, automation, robotics, or a related field, strong Python and PyTorch skills, expertise in robot learning or related methods, and fluent English; overseas experience and relevant conference publications are preferred.
