PhD – Generative Models for Closed-loop Synthesis
Core
Developing novel deep generative models (e.g., diffusion models) to simulate real-world scenarios and enhance data efficiency for AI training and validation in Bosch systems.
Role type
PhD researcher in generative AI
Builds
Synthetic data sources and control mechanisms for closed-loop AI interactions
Domain
Artificial Intelligence / Computer Vision / Deep Learning
Deliverable
research
Required skills
deep learning, computer vision, Python, deep generative modeling, foundation models
Preferred skills
experience with TensorFlow or Pytorch, peer-reviewed publication record
Technologies
TensorFlow, PyTorch, diffusion models, autoregressive models
Responsibilities
Design novel control mechanisms for efficient data sampling, collaborate with deep learning and computer vision experts, aim for publications in top-tier journals and conferences
