Research Associate - NeRFs and Scene Modeling for Robotic Manipulation | Wissenschaftlicher Mitarbeiter (m/w/d) - NeRFs und Szenenmodellierung für robotische Manipulation

Job Summary

This role involves pioneering research and development in the field of Embodied AI and robotics, focusing on NeRFs (Neural Radiance Fields) and scene modeling. The successful candidate will develop and adapt image-conditioned NeRF models for geometric and semantic scene representation in robotic applications, specifically for complex grasping and manipulation tasks in both real and simulated environments. A key aspect of the role includes exploring and implementing federated learning approaches to aggregate locally trained NeRFs across distributed robotic systems. You will integrate NeRF-based scene representations into a federated AI platform (Edge/Fog/Cloud) in collaboration with partner institutes, contribute to scientific publications and open-source software, and engage with industry and research partners. This position offers the chance to work on a forward-thinking project with high visibility in AI and robotics, utilizing modern infrastructure and fostering professional growth.