Visiting Student-Subcontractor - DSL - Oh, Song - 9.21.26.

Argonne National LaboratoryLemont, IL
Onsite

About The Position

The student will work on methods for making AI-data ready. They will focus on federated queries across vector databases using different embedding functions to encode data. They will also explore methods for scalable memory and context management in agentic systems.

Requirements

  • Must be 18 years or older at the time the appointment begins.
  • Currently enrolled in undergraduate or graduate studies at an accredited institution.
  • Graduated from an accredited institution within the past 3 months.
  • Actively enrolled in a graduate program at an accredited institution.
  • The entirety of the appointment must be conducted within the United States.

Responsibilities

  • Work on methods for making AI-data ready.
  • Focus on federated queries across vector databases using different embedding functions to encode data.
  • Explore methods for scalable memory and context management in agentic systems.
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