Research Aide– MCS – Tran, Long – 4.10.26

Argonne National Laboratory • Lemont, IL

2d • $31 - $47

About The Position

This project will explore how large multimodal models can be trained on heterogeneous monitoring data and then adapted for execution on resource-constrained edge devices. The student will use existing large multimodal and foundation models to study how training performance is affected by data fidelity, modality balance, and representation quality. They will then investigate methods for making these models practical on limited hardware, including model compression, distillation, quantization, and efficient inference workflows. A key part of the effort will be comparing the tradeoffs between model accuracy, robustness, latency, memory footprint, and power use when deployed on constrained devices. The project will also evaluate how well compact deployed models preserve the reasoning and decision-support capabilities of larger models in realistic monitoring scenarios. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o 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. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.

Requirements

• The entirety of the appointment must be conducted within the United States.
• 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.
• If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
• Must complete a satisfactory background check.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees