6G Wireless Researcher (Wireless Communication Algorithms for Immersive & Tactile Internet)

China Telecom Singapore Innovation Research Institute; Singapore; Presencial; SGD 120.000 - 170.000; Jornada completa

Descripción de la vacante

China Telecom Singapore Innovation Research Institute is seeking a dedicated researcher to push the boundaries of 6G immersive communications, including haptic/tactile internet and multi-sensory interfaces. The role involves advancing wireless theory, AI-driven optimization, and hands-on prototyping for emerging immersive applications.

You will design PHY/MAC algorithms, apply deep learning for cross-modal streaming and resource allocation, and contribute to prototype validation and

Formación

• PhD or MS with strong research record in relevant fields.
• Experience in immersive communications or wireless tech.
• Knowledge of cross-modal streaming and compression.
• Proficiency in Python, C++ or MATLAB for algorithms.

Responsabilidades

• Design PHY/MAC algorithms for immersive communications with low latency and high reliability.
• Apply ML techniques for adaptive cross-modal streaming and resource allocation.
• Research new paradigms in advanced transmission technologies for immersive use cases.
• Lead or contribute to end-to-end system development from simulation to real-time prototype.
• Contribute to international standardization and ecosystem initiatives.

Conocimientos

Immersive communications

Wireless communication algorithms

Multimodal streaming

Deep learning (CNN/RNN/Transformers)

Educación

PhD in EE/CE/CS

Herramientas

Python

C++

MATLAB

Descripción del empleo

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.

Key Responsibilities

• 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.

Requirements

• 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.