Senior Researcher - AI for Networking


Offre publiée le 2023-01-20

Huawei Technologies Canada Co., Ltd.

Job description

Our team has an immediate permanent opening for a Senior Researcher.

Responsibilities :

  • Contributing to the synthesis of new approaches / designs to improve the performance of the next generation telecommunication systems
  • Proposing and developing advanced AI / ML models to address the real-world issues of communications and networking
  • Proposing and developing advanced learning paradigms to support deep learning in the 5G / 6G era
  • Communicating with business units to find out their challenges, and solving them with AI / ML tools
  • Translating mathematical problem definitions and model / solution specifications into efficient executable code
  • Conducting experiments on large-scale data sets to verify and evaluate the proposed ideas and solutions
  • Keeping track of the latest progresses in the (selected) AI / ML areas (especially federated learning, distributed learning, transfer learning, knowledge distillation, and or complex-valued neural networks), as well as telecommunications
  • Proposing high-impact intellectual properties (e.g., patents);Publishing or contributing to the publishing of research papers in top-tier AI / ML and communications / networking venues
  • Generating organized technical reports
  • Working closely with the team, as well as other Huawei units (if needed)

What you'll bring to the team :

A Ph.D. degree in Computer Science, Electrical and Computer Engineering, Communications, Statistics, Applied Mathematics, or a related field;

or a master degree with 5+ years of work experience in the related fields

  • Preferably 2+ years of work experience in AI / ML or telecommunications
  • Good understanding of Deep Learning (DL) components (e.g., regularization, generalization and batch normalization), and DL paradigms (e.

g., supervised / unsupervised learning, reinforcement learning, representation learning)

Publications in high-quality AI / ML venues (e.g., NeurIPS, ICML, ICLR, AAAI) and / or top communications / networking venues (e.


  • Strong AI / ML coding skills; experienced with Tensorflow or Pytorch
  • Research experience on AI / ML for telecommunication and networking is an asset
  • Project experience in federated learning, distributed learning, transfer learning, knowledge distillation, and / or complex-valued neural networks is an asset
  • Good communication skills, willingness to collaborate, self-motivated
  • 7 hours ago