Stay updated on the latest advancements in Data Center Network (DCN) technologies from academia and industry.
Conduct cutting-edge research to develop high-level architectures and core technologies for next-generation DCNs.
Collaborate with team members to design, implement, and test innovative DCN solutions.
Drive advancements in areas such as network topology design, traffic control, software-defined networking (SDN), optical-electrical hybrid networks, and in-network computing.
Enhance the performance and efficiency of parallel computing systems, especially large-scale AI clusters, by integrating network, computing, and storage systems.
Requirements
Educational Background
Doctoral degree in Computer Science, Electronic Engineering, Artificial Intelligence, Automation, Mathematics, Physics, or related disciplines.
Experience and Expertise
Ideal candidates will have experience in both industry and academia.
Deep understanding of data center networks and high-performance interconnection technologies.
Proficiency in optimizing performance and efficiency for parallel computing systems.
Experience with large-scale distributed deep learning frameworks and the underlying infrastructure.
Skills and Personal Traits
Self-driven, ambitious, and capable of conducting independent research.
Strong collaborative skills and the ability to work effectively in multicultural environments.