6G AI Researcher - Computer Vision & Physical Intelligence

6G AI Researcher - Computer Vision & Physical IntelligenceAbout the RoleWe are seeking an AI Researcher with expertise in Computer Vision, Robotics, or Physical AI to drive applied research in next-generation intelligent systems. You will work across the AI model lifecycle, from developing multimodal models and novel algorithms to optimizing inference for reliable deployment in resource-constrained environments.Your research will contribute to 5G/6G-enabled immersive communication, teleoperation, and intelligent robotic systems, bridging advanced AI research with real-world applications.Key ResponsibilitiesConduct applied research in computer vision, multimodal learning, and Physical AI, developing novel algorithms to improve model performance, robustness, and efficiency.Develop and optimize AI solutions for low-latency, reliable, and resilient operation over next-generation telecommunications networks.Design, implement, fine-tune, and optimize AI models for robotic perception, manipulation, and control, particularly in resource-constrained environments.Collaborate with researchers and engineers to define research directions, build prototypes, and translate research outcomes into practical solutions.Identify emerging technologies and research trends across AI, robotics, telecom AI, and Physical Intelligence, and assess their potential for future applications.Drive research projects independently from problem definition and algorithm design through experimentation, prototyping, and deployment.Technical RequirementsProven R&D experience in Computer Vision, Robotics, Multimodal AI, or a related field.Hands-on experience developing and optimizing computer vision and multimodal AI models.Experience with LLM fine-tuning, model adaptation, or multimodal model development.Proficiency in mainstream AI frameworks such as PyTorch or TensorFlow.Strong programming skills in Python, C++, C, or similar languages.Understanding of Vision-Language-Action (VLA) models, Physical AI, robotic systems, or embodied AI is highly desirable.Experience with model optimization, inference acceleration, or edge/resource-constrained AI deployment is a plus.Preferred QualificationsPhD in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a related field; equivalent industry research experience will also be considered.Demonstrated ability to independently lead AI research and development projects from concept to implementation.Strong analytical, problem-solving, and technical communication skills.Publications in leading AI/ML or computer vision conferences and journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or AAAI, are preferred.