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:
- 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.
- 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.
- 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:
- 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.
- 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.
- 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
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