Researcher - Data Driven Network
2 weeks ago
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-basedtechnologies 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.
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