Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
The Software-Hardware System Optimization Lab continuously improves the power
efficiency and performance of smartphone products through software-hardware
systems optimization and architecture innovation. We keep tracking the trends of
cutting-edge technologies, building the competitive strength of mobile AI,
graphics, multimedia, and software architecture for mobile phone products.
About the job:
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Continuous Research Surveillance: Actively monitor, identify, and track
significant advancements, breakthroughs, and trends in reinforcement learning
and related fields (e.g., deep learning, robotics, game theory).
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Critical Analysis & Synthesis: Deeply analyze research papers, comprehending
the theoretical underpinnings, empirical results, and potential limitations
of novel algorithms and architectures.
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Insight Reporting: Author and present clear, concise, and regular insight
reports, technical summaries, and literature reviews for both technical and
non-technical audiences.
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Strategic Guidance: Translate research findings into strategic
recommendations, highlighting opportunities, risks, and potential new
research directions for our internal teams.
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Knowledge Dissemination: Act as an internal subject matter expert, fostering
a culture of learning by sharing findings through presentations, internal
wikis, and direct collaboration with research scientists and engineers.
About the ideal candidate:
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A PhD or MSc in Computer Science, Electrical Engineering, Statistics, or a
related field with a focus on Reinforcement Learning or Machine Learning.
Demonstrated ability to translate complex theoretical ideas into clean,
efficient, and scalable code.
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Experience in specialized areas of RL such as offline RL, multi-agent RL
(MARL), imitation learning, or model-based RL.
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Proven experience with RL to solve real-world problems.
