SULI– DSL – Siddique, Md – 2.13.26

Argonne National LaboratoryLemont, IL
23h

About The Position

Student will research and help develop scientific foundation models. Key techniques to be explored include domain adaptation, multimodal modeling, supervised fine tuning, reinforcement learning, and synthetic data generation. Student responsibilities will include literature review, data preparation, model training and evaluation/benchmarking.

Requirements

  • The entirety of the appointment must be conducted within the United States.
  • Must be 18 years or older at the time the appointment begins.
  • Applicants must be: ‒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

Responsibilities

  • Literature review
  • Data preparation
  • Model training
  • Evaluation/benchmarking
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