Research Aide– MCS – Egersdoerfer, Chris – 2.2.26
About The Position
Large language model (LLM) agents can now operate common data-analytics interfaces (e.g., databases, notebooks, dashboards). In practice, though, they are usually deployed as "one-and-done" helpers for short, well-scoped requests. Limited context windows and weak long-horizon memory make it difficult for agents to function as truly autonomous background workers that can propose and execute analyses over time and, critically, synthesize many small findings into clear, high-level summaries. Recent progress in context engineering and long-running agent designs suggests this limitation is starting to soften. Early demonstrations show that with the right scaffolding, agents can stay productive across extended periods (on the order of days to a week) while pursuing evolving objectives. Building on these ideas, this project investigates how to adapt long-running, continuously operating agents to HPC telemetry log data collections proposing and running analyses, and continuously distilling results into actionable insights for administrators and operators. 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. ‒ 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.
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.
- Click here to view Argonne employee benefits!
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
