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 for downstream model training and validation
Domain
Automotive AI / Deep Learning
Deliverable
research
Required skills
deep learning, computer vision, Python, deep generative modeling, foundation models
Preferred skills
experience with TensorFlow, PyTorch, peer-reviewed research publications
Technologies
TensorFlow, PyTorch
Responsibilities
Develop novel deep generative models, collaborate with deep learning and computer vision experts, aim for publications in top-tier journals and conferences
Seniority
PhD student
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