Research Assistant(s) (carrying the job title of 'AI Research Assistant')

Chinese University of Hong Kong

Duties & Responsibilities

Conduct literature reviews and technical surveys on vision-language models and self-supervised learning paradigms.
Implement, fine-tune, and deploy large-scale pretrained models for research and industrial applications.
Develop and optimize training pipelines for multimodal data with domain-specific physical constraints.
Design and experiment with reinforcement learning frameworks for autonomous decision-making in dynamic environments.
Enhance model interpretability through mathematical analysis and visualization of attention mechanisms and decision pathways.
Optimize system architecture for edge-cloud deployment including model compression and inference acceleration.
Prepare technical documentation, experiment reports, and presentations for academic and industrial stakeholders.

Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or related discipline.
Solid hands-on experience with deep learning frameworks (PyTorch/TensorFlow/Llama-Factory) and large model fine-tuning and deployment.
Practical exposure to multimodal model architectures (Vision Transformers, VLMs) and reinforcement learning algorithms.
Basic understanding of mathematical concepts underlying deep learning (optimization, probability, linear algebra) and interest in model interpretability.
Experience with training/inference optimization techniques (distributed training, model pruning, quantization) is strongly preferred.
Self-driven and collaborative with keen interest in working in an interdisciplinary research environment.