Machine Learning Engineer

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.