Research Aide - LCF - Dunham, Eero - 2.17.26.

Argonne National Laboratory•Lemont, IL

2d•$22 - $31

About The Position

Recent advances in 3D Gaussian Splatting (3D-GS) have enabled high-quality, real-time rendering of complex scenes, and prior work within the group has successfully integrated Gaussian splats into Unreal Engine. This project builds on that foundation by advancing Gaussian splatting toward dynamic and interactive environments suitable for scientific facilities and digital twins. The student will first focus on generating higher-resolution Gaussian splats using large-scale compute resources on HPC-based systems and the Polaris supercomputer, exploring scalability, performance, and quality tradeoffs. Building on these static representations, the project will then investigate methods for introducing dynamic elements directly into Gaussian splat–based scenes, such as opening and closing doors, moving equipment racks, or selectively highlighting components. A key component of the work will involve connecting Gaussian splats to external sensor or state data, enabling visual emphasis or state changes driven by live or recorded data streams. The expected outcome is a prototype interactive Gaussian splat environment and supporting evaluation, with results suitable for a research poster, demo, or short publication.

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. 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.
If accepting an offer, must pass a screening drug test.
Must complete a satisfactory background check.