Data Researcher
4 weeks ago
Our team has an immediate Co-op 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, 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 source s 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.
In pursuit of BS,MS, or PhD degree in computer science, machine learning/, statistics, applied mathematics, data science, or related tec hnical fields.
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