PhD – Generative Models for Closed-loop Synthesis
Core
Developing novel deep generative models (e.g., diffusion models) to simulate real-world scenarios for AI training and validation, enabling closed-loop interactions in Bosch systems.
Role type
PhD researcher in generative AI
Builds
Novel deep generative models and methodologies for data-efficient AI training
Domain
Artificial Intelligence / Computer Vision / Deep Learning
Deliverable
research
Required skills
deep learning, computer vision, Python programming, deep generative modeling, foundation models
Preferred skills
experience with TensorFlow, PyTorch, peer-reviewed research publications
Technologies
TensorFlow, PyTorch
Responsibilities
Develop novel deep generative models as data sources, collaborate with deep learning and computer vision experts, aim for publications in top-tier journals and conferences
Seniority
PhD student
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