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 (m/f/x), software developers (m/f/x), and other researchers (m/f/x) 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 (m/f/x)., Support the organization of online webinars, events, workshops, and conferences related to the Chair's activities.