Research Aide - LCF - Mathai, Manish - 3.17.26.

Argonne National Laboratory•Lemont, IL

2d•$31 - $47

About The Position

Scientific visualization tools enable exploration of complex scientific datasets but present a steep learning curve, creating hurdles for scientists by demanding technical expertise beyond their domain. AI agents powered by Large Language Models (LLMs) have the potential to address this issue, and yet their effectiveness and reliability in doing so are currently unclear. In this project we will develop a benchmark suite, which focuses on generating simple scientific visualization actions in ParaView via Python code. We will evaluate the efficacy of popular LLMs in performing the tasks in the suite under various conditions, checking execution and pipeline validity across extensive trials. We will evaluate the agentic workflow with science experts at Argonne. The results will indicate how LLMs can assist domain scientists in using scientific visualization software.

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
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, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
Must complete a satisfactory background check.

Benefits

comprehensive benefits are part of the total rewards package.
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