Research Assistant (Artificial Intelligence / Machine Learning / Robotics)

We are seeking a Research Assistant to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs).

Requirements

• Develop accelerated AI/ML and robotics algorithms that significantly reduce computation cost, memory footprint, and power consumption.
• Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across different model sizes and deployment settings.
• Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods.
• Conduct algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms.
• Develop methods for efficient deployment of AI models on cloud and edge devices, considering latency, throughput, and energy constraints.
• Implement, evaluate, and benchmark accelerated models using rigorous experimental protocols.
• Contribute to research publications in top-tier AI, ML, and robotics conferences and journals.
• Collaborate with interdisciplinary teams spanning AI, systems, and robotics.
• Contribute to open-source codebases and reproducible research practices.

Benefits

• Access to research facilities and resources
• Opportunity to work with interdisciplinary teams
• Potential for publications in top-tier conferences and journals