Researcher - Robot/Embodied AI

Huawei Canada has an immediate permanent opening for a Researcher.

About the team:

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.

About the job:

• Working closely with a team of experienced human-machine interaction researchers to solve real world challenges in the application of Embodied AI.
• Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, multimodal Embodied agent, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.
• Translating mathematical problem definitions and model/solution specifications into efficient executable code.
• Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.
• Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.
  
  

Job requirements

About the ideal candidate:

• PhD degree in Computer Science/Computer Engineering or related fields or master's degree with comparable experience.
• Prior experience in robotics, generative AI, and/or vision and language processing.
• Proven research record in AI by having at least one paper as the first author in top tier venues (e.g., NeurIPS, ICML, ICLR, IROS, ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, HRI).
• Proficiency in Python and C++ programming language, with experience in mainstream deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience in robotics applications, in particular decision-making, planning and control, or experience with real robot and ROS is an asset.
• Experience with using large-scale datasets and sensor data, or with use of various transformer architectures and diffusion models is an asset.
• Experience with imitation and reinforcement learning algorithms is an asset.
• Working knowledge of the general terminal devices landscape, architectures, trends, and emerging technologies, with relevant experience and strong interest in Human-computer Interaction, especially (multimodel) voice interaction.