PhD Student - Generative Models for Closed-loop Synthesis | PhD – Generative Models for Closed-loop Synthesis

Robert Bosch GmbH

Renningen, Baden-Württemberg, Deutschland
Published Jul 10, 2025
Full-time
No information

Job Summary

This PhD position at Bosch focuses on cutting-edge research into advanced generative models, particularly diffusion and autoregressive models, to enhance data efficiency for AI training and validation in real-world scenarios. The successful candidate will develop novel deep generative models to serve as data sources, aiming to substitute real-world data collection which is often time-consuming and expensive. This involves designing new methodologies and control mechanisms for efficient data sampling and interaction within a closed-loop system. The role offers the opportunity to collaborate with experts at the Bosch Center for AI, contribute to scientific publications in top-tier venues, and work within an interdisciplinary and international research team, pushing the boundaries of AI development.

Required Skills

Education

Excellent degree in Computer Science or related field with a focus on Computer Vision and Deep Learning

Experience

  • Strong background in deep learning and computer vision
  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Strong programming skills, particularly Python
  • Knowledge and experience in deep generative modeling and foundation models (beneficial)
  • Experience with publication of peer-reviewed research papers (beneficial)

Languages

English (Fluent)

Additional

  • Not specified