Research Aide - Energy Systems and Infrastructure Assessment
About The Position
Candidates will be required to work in the following areas: Work with a multi-node GPU cluster to accelerate small signal stability analysis. Implement and/or integrate numerical linear algebra methods relevant to dynamical systems Implementation will be using CUDA/HIP or wrappers for these libraries. Profile and analyze performance, document results, and contribute to reproducible workflows. Additionally, candidates will: Give seminars and assist in preparation of journal articles, technical reports, and presentations for conferences and workshops. Support open-source software development efforts for DOE projects. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Currently enrolled in a PhD program 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. Currently pursuing a PhD Degree in Electrical Engineering or a closely related field. Strong understanding of linear control theory. Strong understanding of at least one programming language is preferred. Familiarity with version control (Git). Familiarity with CUDA/HIP, either directly or through wrapper libraries.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Currently enrolled in a PhD program 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.
- Currently pursuing a PhD Degree in Electrical Engineering or a closely related field.
- Strong understanding of linear control theory.
- Familiarity with version control (Git).
- Familiarity with CUDA/HIP, either directly or through wrapper libraries.
Nice To Haves
- Strong understanding of at least one programming language is preferred.
Responsibilities
- Work with a multi-node GPU cluster to accelerate small signal stability analysis.
- Implement and/or integrate numerical linear algebra methods relevant to dynamical systems
- Implementation will be using CUDA/HIP or wrappers for these libraries.
- Profile and analyze performance, document results, and contribute to reproducible workflows.
- Give seminars and assist in preparation of journal articles, technical reports, and presentations for conferences and workshops.
- Support open-source software development efforts for DOE projects.
Benefits
- comprehensive benefits are part of the total rewards package.
- Click here to view Argonne employee benefits!
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
