Researcher - Reinforcement Learning Research Synthesis
About the role
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:
- 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).
- Critical Analysis & Synthesis: Deeply analyze research papers, comprehending the theoretical underpinnings, empirical results, and potential limitations of novel algorithms and architectures.
- Insight Reporting: Author and present clear, concise, and regular insight reports, technical summaries, and literature reviews for both technical and non-technical audiences.
- Strategic Guidance: Translate research findings into strategic recommendations, highlighting opportunities, risks, and potential new research directions for our internal teams.
- 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.
Job requirements
About the ideal candidate:
- 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.
- Experience in specialized areas of RL such as offline RL, multi-agent RL (MARL), imitation learning, or model-based RL.
- Proven experience with RL to solve real-world problems.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
Researcher - Reinforcement Learning Research Synthesis
About the role
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:
- 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).
- Critical Analysis & Synthesis: Deeply analyze research papers, comprehending the theoretical underpinnings, empirical results, and potential limitations of novel algorithms and architectures.
- Insight Reporting: Author and present clear, concise, and regular insight reports, technical summaries, and literature reviews for both technical and non-technical audiences.
- Strategic Guidance: Translate research findings into strategic recommendations, highlighting opportunities, risks, and potential new research directions for our internal teams.
- 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.
Job requirements
About the ideal candidate:
- 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.
- Experience in specialized areas of RL such as offline RL, multi-agent RL (MARL), imitation learning, or model-based RL.
- Proven experience with RL to solve real-world problems.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.