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

TRUST RECRUIT PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Great remuneration & benefits

Great career progression

Job summary

TRUST RECRUIT PTE. LTD. in Singapore seeks a PhD-level researcher to design novel PHY/MAC algorithms for immersive communications and to apply deep learning for cross-modal streaming and resource allocation. You will contribute to prototype validation and to international standardization efforts.

The role emphasizes strong research output, collaboration with R&D teams, and the development of real-time systems in a telco MNC environment. Excellent remuneration is offered.

Qualifications

• PhD in Electronic Engineering, Communications or CS or a closely related field.
• Strong research record through publications, patents, or impactful projects.
• Experience in immersive communications and wireless low-latency, high-throughput systems.

Responsibilities

• Design PHY/MAC algorithms and architectures for immersive communications with strict latency, reliability, and throughput.
• Apply ML techniques for adaptive cross-modal streaming, resource allocation, and data compression.
• Research emerging transmission paradigms for immersive use cases.
• Lead end-to-end system development from simulation to real-time prototype validation.
• Contribute to international standardization and ecosystem initiatives.

Skills

Python

C++

MATLAB

Deep learning

Reinforcement learning

Federated learning

Algorithm development

Education

PhD in Electronic Engineering/ Communications/ CS

MS with strong research experience

Tools

Python

C++

MATLAB

Job description

Highlights:

• Telco MNC

• Permanent job opportunity

• 5 days work week, normal office working hour

• Great remuneration & benefits

• Great career progression

• Location: Central

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.