Argonne National Laboratory · 11 hours ago
Research Aide– LCF – Moghadampanah, Mona– 2.2.26
Argonne National Laboratory is a research facility that focuses on scientific discovery and innovation. They are seeking a Research Aide to work on projects involving Multi-Modal Large Language Models (MLLMs), analyzing energy and performance characteristics, and developing power management strategies for improved efficiency.
EnergySecuritySocial Impact
Responsibilities
Characterizing the energy and performance bottlenecks of MLLM inference pipelines
Analyzing the energy and performance impact of different input modalities and modality-specific features (e.g., images, video, and audio)
Designing workload-aware power management strategies that employ system-level power control mechanisms such as dynamic voltage and frequency scaling (DVFS) and power capping to reduce energy consumption while meeting service-level objectives (SLOs)
Demonstrating practical energy savings for real-world multimodal inference deployments without compromising latency or throughput requirements
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
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
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2026-01-17
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