The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.
Develop and deploy machine learning models for: Solar and wind power forecasting, supporting both real-time operations and longer-term energy planning
Build data-driven components for renewable plant digital twin platforms, including: Real-time generation simulation and monitoring; Weather-driven scenario analysis; Performance diagnostics and anomaly detection
Work with diverse data sources, such as: SCADA and historical generation signals; Meteorological measurements and NWP forecasts; Satellite imagery and sky-imager video streams; Plant layout, spatial topology, and turbine/panel metadata
Collaborate with cross-functional engineering and research teams to deliver practical, production-ready solutions.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
Master’s or PhD degree in: Machine Learning / Computer Science; Applied Mathematics / Statistics; Meteorology / Atmospheric Science; Energy Systems / Electrical Engineering
Strong foundation in machine learning, deep learning, and statistical modeling
Proficiency in Python and modern deep learning frameworks (PyTorch is an asset)
Experience with computer vision and image/video processing, such as: Remote sensing imagery understanding; Spatio-temporal video modeling; Vision Transformers or related architectures
Familiarity with physics-informed learning, including: Incorporating physical constraints into neural models; Hybrid modeling combining data-driven and domain knowledge
Ability to work with real-world industrial sensor data and build robust forecasting pipelines.
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 is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.
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