Research Aide– DSL – Luce, Jason – 3.10.26

Argonne National Laboratory•Lemont, IL

2d•$31 - $47

About The Position

Jason Luce will work on developing and evaluating a cross-institutional AI workflow that enables memory-intensive 3D model inference using Argonne’s ALCF computing infrastructure. The project will establish an end-to-end pipeline in which large volumetric datasets from Loyola University Medical Center are transferred to Argonne for inference on SambaNova SN40L systems and the results returned for downstream analysis. Cone-beam CT (CBCT) artifact and noise reduction will serve as the representative application to study how large-capacity 3D models behave during inference. The work will help assess the suitability of memory-rich AI hardware for large-scale 3D scientific and medical workloads. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. Must be a U.S. citizen or Legal Permanent Resident at the time of application. If accepting an offer, candidates may be required to complete pre-employment drug

Requirements

The entirety of the appointment must be conducted within the United States.
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.
Must be 18 years or older at the time the appointment begins.
Must possess a cumulative GPA of 3.0 on a 4.0 scale.
Must be a U.S. citizen or Legal Permanent Resident at the time of application.