SULI– MCS – Shaw, Adam – 2.13.26

Argonne National Laboratory • Lemont, IL

5d

About The Position

This project extends the matrix-free operator learning preconditioning framework from the U(1) Schwinger model to lattice QCD with SU(3) gauge fields. The work will develop neural operator based linear maps that learn structure aware preconditioners for Dirac operators arising from SU(3) gauge configurations while preserving scalability to large lattice volumes. The project will investigate training strategies that incorporate gauge covariance, lattice symmetries, and fermion discretization structure to ensure physical consistency and generalization. Performance will be evaluated by measuring condition number reduction, CG iteration count, and strong scaling efficiency across varying lattice sizes, quark masses, and gauge ensembles. The project will also assess zero shot transfer of learned preconditioners across lattice resolutions and ensemble distributions relevant to production QCD simulations. Education and Experience 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

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
• Actively enrolled in a graduate program at an accredited institution

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed