Argonne National Laboratory · 18 hours ago
Research Aide– MCS – Austin, Allison– 2.2.26
Argonne National Laboratory is seeking a Research Aide to work on a log data analysis project. The role involves applying multimodal deep learning models to predict job success and exploring visual analytics to enhance understanding of model predictions.
EnergySecuritySocial Impact
Responsibilities
Working on a log data analysis project
Looking into the application of multimodal deep learning models to predict job success/failure
Explore how visualization can help experts understand how the model(s) make predictions
Review current approaches to improve prediction accuracy
Explore how visualization can help HPC experts fine-tune analysis to their specific log data/system characteristics
Fine-tune the preprocessing step
Explore how a visualization can help experts better understand how and why these log predictions are reached
Qualification
Required
The entirety of the appointment must be conducted within the United States
Applicants must be currently enrolled in undergraduate or graduate studies at an accredited institution
Applicants must have 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, must pass a screening drug test
Must complete a satisfactory background check
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Recent News
2026-01-25
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-17
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