Co-op Researcher

Welcome to the Advanced Wireless Technology Wireless Lab, an epitome of innovation located in Ottawa, Canada. Here, amid the dynamic panorama of technological progress, our team consists mainly of seasoned graduate computer engineers and computer scientists. With diverse experiences ranging from fresh perspectives to decades-long industry immersion, we are united by our fervour for pioneering wireless solutions.

• Design and implement advanced reinforcement learning for large-scale graph-structured optimization and complex scheduling problems.

• Enabling Large Language Models (LLMs) to learn from experience, interaction, and environment feedback, moving beyond static fine-tuning toward continual, agentic self-improvement.

• Collaborate closely with researchers to prototype, implement, and integrate research ideas into proof-of-concept.

• Stay current with literature and recent advances in the AI domain for high-performance computing.

• Contribute to scientific papers.

The total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

• Currently pursing a PhD degree or master's degree in Computer Science or related fields.

• Background in machine learning, deep learning and practical or research experience in reinforcement learning, self-supervised learning, or language model fine-tuning.

• Strong theoretical in advanced reinforcement learning (agentic RL, multi-agent RL or Meta-RL).

• Familiarity with LLMs or generative AI methods and their integrations into structured reasoning or decision systems.

• Excellent communication skills, self-motivated, with creative thinking and attention to details.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.