Research Associate in Machine Learning and Wireless Networks | Research associate (m/f/x)

Job Summary

This full-time research position focuses on conducting high-quality, independent research at the intersection of collaborative learning and wireless networks. As a Research Associate, you will develop and analyze learning algorithms to address fundamental challenges in efficiency, adaptability, and system performance within the Internet of Things, communication networks, and robotics. Your day-to-day will involve designing complex algorithms and publishing findings in leading IEEE journals and machine learning conferences. This role is ideal for researchers passionate about fundamental AI research, including multi-armed bandits, transfer learning, and federated learning. The position offers a unique opportunity to contribute to a long-term project until mid-2028, working within a group that bridges the gap between theoretical machine learning and practical engineering applications. It is a highly academic and technical role requiring a strong mathematical foundation and the ability to work on cutting-edge multi-agent systems.