Research Aide - AMD - Kim, Sola

Argonne National Laboratory•Lemont, IL

1d•Onsite

About The Position

The Student Research Aide (SRA) will contribute to the development of an AI-based advisory system designed to support the deployment of robotic systems in nuclear and hazardous environments. The system will focus on providing decision-making assistance in areas related to regulatory, environmental, and safety compliance. The advisory system will be built using a multi-agent Retrieval-Augmented Generation (RAG) framework, integrating large language models (LLMs) with intelligent document retrieval mechanisms. The system will enhance decision accuracy and reliability through structured collaboration among specialized AI agents, addressing the known limitations of current LLMs in terms of consistency and adaptability. The SRA will collaborate closely with members of Argonne's Robotics and Remote Systems Group and external project partners to align development activities with current research goals and project requirements.

Requirements

Currently enrolled in undergraduate or graduate studies at an accredited institution.
Graduated from an accredited institution within the past 3 months; or actively enrolled in a graduate program at an accredited institution.
Must be 18 years or older at the time the appointment begins.
Must possess a cumulative GPA of 3.0 on a 4.0 scale.
Must pass a screening drug test.
Must complete a satisfactory background check.
The entirety of the appointment must be conducted within the United States.

Responsibilities

Contribute to the development of an AI-based advisory system.
Support the deployment of robotic systems in nuclear and hazardous environments.
Provide decision-making assistance in regulatory, environmental, and safety compliance.
Build an advisory system using a multi-agent Retrieval-Augmented Generation (RAG) framework.
Integrate large language models (LLMs) with intelligent document retrieval mechanisms.
Enhance decision accuracy and reliability through structured collaboration among specialized AI agents.
Collaborate closely with members of Argonne's Robotics and Remote Systems Group and external project partners.
Align development activities with current research goals and project requirements.