Researcher (m/f/x) in Distributed Intelligence and Learning

- Design and evaluate distributed learning algorithms that operate across heterogeneous nodes, exploring model splitting, collaborative inference, and adaptive training strategies. - Investigate privacy-preserving and energy-efficient learning mechanisms and study the co-design of AI models and network architectures. - Prototype and experimentally validate the proposed solutions on edge-cloud platforms and mobile network infrastructures, with results published in top-tier venues at the intersection of AI systems and networking. - Work collaboratively with cross-functional teams, including hardware engineers, software developers, and other researchers to integrate AI solutions with network and cloud infrastructure. - Publish research findings in high-impact journals and present at international conferences and symposiums to disseminate knowledge and advance the field. - Assist in the management of research projects, including the preparation of reports, grant proposals, and progress updates. - Help with teaching courses related to clouds and networks, contributing to curriculum development and providing support to students. - Support the organization of online webinars, events, workshops, and conferences related to the Chairs activities.