Immersive Communications AI Researcher

Job Responsibilities:

• Conduct advanced research in AI and machine learning to support emerging 6G use cases, including intelligent sensing and haptic communications.
• Design and develop deep learning architectures for modeling complex sensory and perceptual data.
• Investigate novel representation learning and feature abstraction techniques for next-generation communication systems.
• Develop AI-driven algorithms that enhance perceptual quality, efficiency, and robustness in immersive communication scenarios.
• Implement, train, and optimize deep neural network models using modern AI frameworks.
• Design evaluation methodologies and benchmarking frameworks aligned with perceptual and system-level performance metrics.
• Collaborate closely with communications engineers and system researchers to integrate AI models into end-to-end 6G architectures.
• Contribute to technical documentation, patents, and high-impact publications supporting the organization’s 6G strategy.
• Track global trends in 6G, embodied intelligence, multimodal AI, and immersive technologies.

Requirements:

• PhD or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a closely related field.
• Strong research background in machine learning, deep learning, or AI-driven signal modeling.
• Strong expertise in deep learning and representation learning, with hands-on experience using frameworks such as PyTorch or TensorFlow, and solid programming skills in Python.
• Experience modeling high-dimensional data (e.g., images, sensor signals, or structured data), with sound understanding of optimization, generalization, and AI system evaluation.
• Experience in AI for communications, intelligent sensing, immersive media, haptic systems, or related 6G-enabling technologies.
• Demonstrated research output (e.g., publications, patents) or prior involvement in strategic R&D or large-scale research initiatives.
• Strong analytical thinking, scientific rigor, and ability to work independently in a research-driven environment.
• Effective communication skills and ability to collaborate across interdisciplinary teams.