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starry recruitment pte. ltd. seeks a passionate researcher to join the cutting edge of 6G immersive communications, focusing on haptic/tactile internet and multi-sensory experiences.
The role blends wireless theory, AI-driven optimization, and hands-on prototyping to shape future immersive applications. You will design PHY/MAC algorithms, apply deep learning for QoE, and contribute to end-to-end system validation and standardization efforts, with a strong emphasis on low latency, high
We are seeking a passionate researcher to join our team at the forefront of 6G immersive communications, focusing on haptic/tactile internet and multi-sensory communication. The tasks of this role encompass advancing wireless communication theory, AI-driven optimization, and hands‑on system prototyping to shape the emerging applications in immersive communications.
Design novel PHY/MAC layer algorithms and architectures that enables immersive communications with stringent latency, reliability, and throughput requirements.
Develop and apply advanced machine learning techniques for adaptive cross-modal streaming, resource allocation, and multi-modal data compression.
Research and evaluate emerging paradigms in advanced transmission technologies for immersive communications.
Lead or contribute to end-to-end system development, from algorithm simulation to real-time prototype validation for immersive use cases.
Contribute to international standardization efforts and ecosystem development initiatives.
PhD (or MS degree with strong research experience) in Electronic Engineering, Communication Engineering or Computer Science (or a closely related discipline).
Proven research track record (publications, patents, or impactful projects) in one or more of the following:
Immersive communications (multi-sensory, tactile/haptic internet)
Wireless communication algorithms (low-latency, high-reliability, high-throughput)
Multi-modal and cross-modal streaming and compression
Proficient in deep learning (CNN, RNN, Transformers), reinforcement learning (RL), or federated learning (FL) for immersive QoE optimization.
Strong programming skills in Python, C++, or MATLAB for algorithm development.
Experience in prototype implementation and system-level validation of communication technologies.