Visiting Student-Subcontractor - DSL - Tien, Chih-chan - 8.7.26.

Argonne National LaboratoryLemont, IL
Onsite

About The Position

This project aims to develop geometric-algebra artificial-neural foundation models for molecular and biomolecular machine learning and artificial intelligence, using Clifford algebra to represent geometry, orientation, and tensor quantities in a single equivariant feature space. The goal is to build scalable 3D models for physical chemistry and biochemistry tasks, with the hypothesis that geometric algebra yields more expressive and physically consistent representations than current neural networks.

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.
  • 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.
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