Research Aide - LCF - Sankaranarayanan, Kausalya - 2.18.26.
About The Position
Workflow Deep Analysis Workflow Simple: Getting a simple workflow running, repeatably. Log Collection and Analysis: Gathering the logs from at least 2 sources and seeing if each gives us the data we need. Apache Airflow, Prefect, and/or live data from AmSC. a. The more sources the better. We can find what is missing with each and come up with an average structure across all the workflow systems. Workflow Reconstruction: Reconstructing a workflow from what it did along with timings and other metadata Workflow Serialization: Define what a workflow would be serialized into using existing or new methods. Some other AmSC interfaces are missing this structure. Workflow Visualization: Displaying the workflow, timeline based and/or graph based. Event Aggregation: Developing a tool, possibly using existing tools(ex: process_scenario.py) to generically create aggregate logs(points in time) into events(start->end something) by some identifier, is a workflow. I have a good base for event code in in here: https://git.cels.anl.gov/aig-public/octeres/-/tree/develop/src. Containerization: Creating a container that does all this for gathering every component of this in one easily digestible place. Workflow Inefficient: Create inefficient workflows and run them. Workflow AI4Ops: Using AI algorithms and other methods identify inefficiencies in workflows based on "happens-before" and other methods.
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.
Responsibilities
- Workflow Deep Analysis
- Workflow Simple: Getting a simple workflow running, repeatably.
- Log Collection and Analysis: Gathering the logs from at least 2 sources and seeing if each gives us the data we need. Apache Airflow, Prefect, and/or live data from AmSC.
- Workflow Reconstruction: Reconstructing a workflow from what it did along with timings and other metadata
- Workflow Serialization: Define what a workflow would be serialized into using existing or new methods. Some other AmSC interfaces are missing this structure.
- Workflow Visualization: Displaying the workflow, timeline based and/or graph based.
- Event Aggregation: Developing a tool, possibly using existing tools(ex: process_scenario.py) to generically create aggregate logs(points in time) into events(start->end something) by some identifier, is a workflow.
- Containerization: Creating a container that does all this for gathering every component of this in one easily digestible place.
- Workflow Inefficient: Create inefficient workflows and run them.
- Workflow AI4Ops: Using AI algorithms and other methods identify inefficiencies in workflows based on "happens-before" and other methods.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
