Research Aide– MCS – Yan, Ning – 2.2.26

Argonne National Laboratory•Lemont, IL

2d•$31 - $47

About The Position

This project focuses on developing efficient algorithms to support isosurface analysis on large-scale scientific simulation data under the Eureka framework, which adopts a compression–index co-design approach. The research aims to enable fine-grained data access and selective decompression for isosurface extraction, thereby significantly reducing I/O and computational overhead compared to traditional full-data processing approaches. The expected outcome is to achieve substantial improvements in both time and space efficiency over conventional isosurface extraction methods such as the Marching Cubes algorithm, while ensuring the correctness and visual fidelity of the extracted isosurfaces.

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

Benefits

comprehensive benefits are part of the total rewards package.
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