6G AI Researcher - Computer Vision & Physical Intelligence

China Telecom Singapore Innovation Research Institute

Singapore

On-site

SGD 120,000 - 160,000

Full time

14 days+
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Job summary

China Telecom Singapore Innovation Research Institute seeks an AI Researcher specializing in computer vision or robotics to advance Physical Intelligence. You will conduct applied research across the AI model lifecycle, from designing multimodal models to optimizing inference for resource-constrained deployment.

Responsibilities include developing AI-enabled telecom solutions, designing models for robotic manipulation, collaborating with engineers, and publishing at leading venues.

Qualifications

  • Proven research and development experience in computer vision, robotics, or related fields.
  • Hands-on experience in CV model development, multimodal modeling and fine-tuning large language models (LLMs).
  • Proficiency in mainstream AI development frameworks such as PyTorch or TensorFlow.
  • Strong programming skills in Python and C/C++.
  • PhD in Computer Science or related field, or equivalent practical experience.
  • Publications at leading peer-reviewed venues are preferred.

Responsibilities

  • Conduct applied research in computer vision and multimodal learning to develop novel algorithms and improve model accuracy and robustness.
  • Develop AI-enabled solutions that support low-latency, reliable operation over telecom systems.
  • Design, implement, and optimize AI models for robotic manipulation and control in constrained environments.
  • Collaborate with researchers and engineers to translate research into practical solutions for real-world challenges.
  • Stay current with advances in AI research, telecom AI applications, robotics, and Physical AI.

Skills

Computer vision
Robotics
Multimodal learning
Research experience
Problem solving
Communication skills

Education

PhD in Computer Science or related field

Tools

PyTorch
TensorFlow
Python
C/C++

Job description

We are seeking an AI Researcher specializing in computer vision or robotics to advance Physical Intelligence. In this role, you will conduct applied research across the AI model lifecycle, from designing multimodal models to optimizing inference for reliable deployment in resource-constrained environments. Your work will support 5G/6G-enabled immersive communications, teleoperation, and intelligent robotic systems.

  • Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
  • Develop and optimize AI-enabled solutions that support low-latency, reliable, and resilient operation over telecommunication systems.
  • Design, implement, and optimize AI models for robotic manipulation and control in resource-constrained environments.
  • Collaborate with researchers and engineers to define research directions, develop prototypes, and translate research outcomes into practical solutions for real-world technical and business challenges.
  • Stay current with advances in AI research, including emerging developments in telecom AI applications, robotics, and Physical AI.
  • Proven research and development experience in computer vision, robotics, or related fields.
  • Hands-on experience in computer vision model development, multimodal modeling and fine-tuning large language models (LLM).
  • Proficiency in mainstream AI development frameworks, such as PyTorch or TensorFlow.
  • Strong programming skills in at least one language, such as Python, C/C++.
  • Knowledge of Vision-Language-Action (VLA) models and Physical AI systems would be an advantage.
  • PhD in Computer Science or a related field, or equivalent practical experience.
  • Demonstrated ability to independently drive research and development projects from conception through completion.
  • Excellent problem-solving, analytical, and communication skills.
  • Publications at leading peer-reviewed venues (i.e., AAAI, CVPR, ICML, NeurIPS, etc.) are preferred.
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