[LBNL] 대학원생 연구원 (GSR)
Author
admin
Date
2026-04-24 10:13
Views
21
Organization: Lawrence Berkeley National Laboratory (LBNL)
Description
We are seeking a Graduate Student Researcher to join a project analyzing the energy-performance of large-scale AI models. The researcher will conduct benchmarking and develop predictive models to estimate energy consumption and latency for AI workloads.
We are seeking a Graduate Student Researcher to join a project analyzing the energy-performance of large-scale AI models. The researcher will conduct benchmarking and develop predictive models to estimate energy consumption and latency for AI workloads.
Knowledge & Skills
Duration: Project-based, contingent upon research milestones and progress.
- Proficiency in PyTorch or TensorFlow.
- Experience with high-performance computing (HPC) systems, SLURM job scheduling, and managing large-scale data across parallel filesystems.
- Familiarity with edge AI accelerators (e.g., Jetson, Coral) and hardware-level power measurement.
- Knowledge in mathematical modeling and machine learning for system-level performance modeling.
Duration: Project-based, contingent upon research milestones and progress.
Students interested in the position can send a resume that includes educational information, skills, and relevant experience to Won Young Park (박원영) at wypark@lbl.gov.