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

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.