Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Design and develop AI-driven systems for scientific algorithm discovery, including models that can propose, test, and iteratively improve algorithms.
Research autonomous scientific discovery systems, enabling self-evolving algorithmic frameworks that adapt based on experimental feedback.
Collaborate with interdisciplinary teams to apply AI-discovered algorithms to real-world scientific challenges.
Publish research findings in top-tier conferences and journals, and contribute to open-source or internal research platforms.
About the ideal candidate:
A PhD or Master’s in computer science, machine learning, applied mathematics, or a related field.
Demonstrated ability to conduct independent research and system development.
A strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, ACL).
Proven research track record with publications or impactful projects in relevant areas. ed
Strong background in machine learning, optimization, and scientific computing.
Experience with algorithm self-evolving methods or autonomous scientific discovery is an asset.
Additional Information:
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.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.
Skills Required
- A PhD or Master's in computer science, machine learning, applied mathematics, or related field
- Demonstrated ability to conduct independent research and system development
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, ACL)
- Proven research track record with publications or impactful projects in relevant areas
- Strong background in machine learning, optimization, and scientific computing
- Experience with algorithm self-evolving methods or autonomous scientific discovery
What We Do
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.
