PhD – Generative Models for Closed-loop Synthesis at BoschGroup

Bosch is seeking a PhD student to research and develop deep generative models, particularly diffusion and autoregressive models, for simulating real-world scenarios and enhancing the training and validation of downstream AI models. The role involves creating data-efficient closed-loop methodologies, collaborating with deep learning and computer vision experts, and pursuing publications in top-tier journals and conferences. Candidates should have a strong background in deep learning and computer vision, experience with frameworks such as TensorFlow or PyTorch, strong Python programming skills, and very good English and academic writing skills.