jobs in STARRY RECRUITMENT PTE. LTD.

全职 6G Wireless Researcher (Wireless Communication Algorithms for Immersive - Tactile Internet) 工作, 薪水 up to SGD 7,000, STARRY RECRUITMENT PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

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

STARRY RECRUITMENT PTE. LTD.

Central Region (Singapore)

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工作地点

  • 160 ROBINSON ROAD Central Region (Singapore) Singapore

职位描述

岗位职责

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

Role Overview

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.

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