Researcher - Data Driven Network

Our team has an immediate permanent opening for a Researcher.

Responsibilities:

• Collect, analyze, and process massive data of user connections on Huawei's global networks based on advanced deep learning, reinforcement learning, and Bayesian optimization technologies.
• Build network training models, intelligent analysis and key feature extraction systems, and predict real-time communication qualities.
• Contribute and collaborate on research and implementation of advanced network technologies, including but not limited to network protocol stack optimization, traffic engineering, congestion control, routing, and resource allocation.
• Explore optimization opportunities for cutting-edge data-driven and learning-based technologies in Huawei's global networks based on the latest research progress.

What you’ll bring to the team:

• Knowledge in basic computer network protocols, e.g., TCP/IP, IPv6, HTTP, BGP and OSPF.
• Experience in theoretical and empirical research in machine learning.
• Proficient in using machine learning framework PyTorch, and programming language Python.
• Ability to apply, evaluate, and modify machine learning algorithms against various data sources and use cases.
• Experience in developing and debugging in Go, JAVA, C/C++, or C# is an asset.
• Experience in a university, industry, or government lab(s), in a role with primary emphasis on computer networking research is an asset.
• First-author publications at top networking/AI conferences is an asset.
• PhD degree in computer science/machine learning/ statistics/applied mathematics/data science, or related technical fields.