In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for a
Researcher (m/f/x) in Distributed Intelligence and Learning Across the Cloud-Edge Continuum
The Institute of Networked Energy-Efficient Systems is dedicated to advancing autonomous, energy-efficient cloud-based networks that support cutting-edge services and innovations. We are assembling a talented international team committed to pioneering research and teaching in this dynamic field.
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 position addresses the fundamental question of how learning and inference should be embedded inside future networked systems. The researcher will develop novel paradigms for distributed, federated, and continual learning tailored to highly dynamic, resource-constrained, and privacy-sensitive environments. The work aims to tightly integrate learning processes with network and system behavior.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.
The Ruhr-Universität Bochum is one of Germany's leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum's declared aim.
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