Research Associate - Federated Machine Learning for Robotic AI Systems | Wissenschaftlicher Mitarbeiter (m/w/d) - Föderiertes maschinelles Lernen für robotische KI-Systeme
Hochschule Karlsruhe Technik und Wirtschaft
Job Summary
This Research Associate position at the Institute for Data-Centric Software Systems (IDSS) in Karlsruhe focuses on advancing federated machine learning for robotic AI. The role involves training neural scene and capability models in real and simulated environments to support complex grasping and manipulation tasks. You will research and develop specific Federated Learning (FL) methods for aggregating locally trained AI and NeRF models across diverse robotic systems, integrating these into distributed AI architectures (Edge/Fog/Cloud). Collaboration with industry and research partners, contributing to scientific publications, and supervising student work are also key aspects. This is an exciting opportunity to work on a high-visibility, future-oriented research project with access to cutting-edge infrastructure and a supportive, family-friendly university environment.
Required Skills
Education
Master's degree or equivalent in Computer Science or related fields
Experience
- Professional experience in Deep Learning, ideally with NeRFs or related 3D representations
- Professional experience in distributed/federated ML
- Experience with data privacy concepts and model aggregation across heterogeneous systems
- Practical experience with frameworks for implementing FL procedures (e.g., Flower, FedML)
Languages
Additional
- Temporary contract until May 31, 2028.
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