We are looking for a highly motivated researcher (m/f/x) to explore how intelligence itself can be distributed, coordinated, and optimized across devices, edge nodes, and cloud infrastructures. The researcher will develop novel paradigms for distributed, federated, and continual learning tailored to highly dynamic, resource-constrained, and privacy-sensitive environments. The researcher (m/f/x) will join the Institute of Networked Energy-Efficient Systems at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. Collaboration: Work collaboratively with cross-functional teams, including hardware engineers (m/f/x), software developers (m/f/x), and other researchers (m/f/x) to integrate AI solutions with ...
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