Research Aide - ESIA - Jia, Zhichao - 4.9.26
About The Position
New grid technologies have led to an exponential increase in the complexity of the mathematical models that the power industry relies on to maintain the reliability, resilience and affordability of the power grid. In this project, we address this emerging computational challenge by developing a general framework for the next generation of hybrid power systems optimization tools, which combine classical optimization with artificial intelligence (AI) to become increasingly more efficient over time. Under guidance of the principal investigator and other team members, the student will help develop novel techniques to accelerate the performance of existing state-of-the-art optimization solvers using AI. 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.
- 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
Responsibilities
- Under guidance of the principal investigator and other team members, the student will help develop novel techniques to accelerate the performance of existing state-of-the-art optimization solvers using AI.
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
Number of Employees
1,001-5,000 employees
