Seeking new worlds, new marvels - with you.

PhD/RA/Post-doc Recruitment

Our AI research lab is seeking passionate individuals to join our team in advancing cutting-edge AI. Current research areas include:

  • Large Language Models: Focus on the reasoning mechanisms and applications of LLMs/LRMs, covering post-training, intelligent agent deployment, and foundational theoretical research.
  • Multimodal Models: Multimodal and world models, embodied intelligence, and AI for Science.
  • AI Systems: Edge intelligence (e.g., smartphones, vehicles, robots), large-scale model storage systems, and acceleration using domestic GPUs.

Join us to explore new AI frontiers and shape the future! Apply now to be part of our team.

Our AI research lab is seeking passionate individuals to join our team in advancing cutting-edge AI. Current research areas include:

  • Large Language Models: Focus on the reasoning mechanisms and applications of LLMs/LRMs, covering post-training, intelligent agent deployment, and foundational theoretical research.
  • Multimodal Models: Multimodal and world models, embodied intelligence, and AI for Science.
  • AI Systems: Edge intelligence (e.g., smartphones, vehicles, robots), large-scale model storage systems, and acceleration using domestic GPUs.

Join us to explore new AI frontiers and shape the future! Apply now to be part of our team.

Research Assistant in Edge AI

We are seeking a highly motivated andtalented Research Assistant to join our research team in the exciting area of Edge AI. The RA will work on cutting-edge projects focused on efficient, real-time AI reasoning on edge devices.

Key Research Projects

The RA will contribute to one or more of the following research directions:

  1. Multimodal Edge Inference Acceleration:Designing lightweight and high-performance models for processing and fusing multiple data modalities (e.g., vision, audio, sensor data) on edge devices.
  2. Embodied Intelligence on Edge:Developing optimized reasoning pipelines for embodied agents (e.g., mobile robots, drones) to perform perception, planning, and decision-making at the edge.
  3. Tiny Reasoning Models:Exploring ultra-compact AI models capable of performing efficient and accurate reasoning tasks under extreme resource constraints.

We are seeking a highly motivated andtalented Research Assistant to join our research team in the exciting area of Edge AI. The RA will work on cutting-edge projects focused on efficient, real-time AI reasoning on edge devices.

Key Research Projects

The RA will contribute to one or more of the following research directions:

  1. Multimodal Edge Inference Acceleration:Designing lightweight and high-performance models for processing and fusing multiple data modalities (e.g., vision, audio, sensor data) on edge devices.
  2. Embodied Intelligence on Edge:Developing optimized reasoning pipelines for embodied agents (e.g., mobile robots, drones) to perform perception, planning, and decision-making at the edge.
  3. Tiny Reasoning Models:Exploring ultra-compact AI models capable of performing efficient and accurate reasoning tasks under extreme resource constraints.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Strong background in machine learning, deep learning, or embedded systems.
  • Experience with PyTorch, TensorFlow, or similar frameworks.
  • Familiarity with model compression, neural architecture search, or edge computing is a plus.
  • Good communication and teamwork skills.
  • Fluent in English (written and spoken).

Additional Information

  • Position is based in Hong Kong.
  • Opportunity to publish papers, develop prototypes, and collaborate with industry partners.
  • deal for candidates aiming to pursue a PhD or build experience in research-intensive environments.
  • Monthly Salary: HKD $10,000 – $18,000, commensurate with experience andqualifications.

If you are passionate about AI and eager to push the boundaries of what’s possible on edge devices, we’d love to hear from you!

To Apply:

Please send your CV, transcript, and a brief statement of interest to congcong@ust.hk