AI/ML Power System Analysis, Power Flow, and State Estimation Fall Student Engineer
Listed on 2026-06-22
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Engineering
Electrical Engineering
Job Title and Position
AI/ML for Power System Analysis, Power Flow, and State Estimation – Fall Student Engineer
Location:
Knoxville, TN
This internship position supports R&D projects related to AI‑driven power system modeling, including power flow, state estimation, and large‑scale grid analytics under high renewable penetration. The role is available for students starting in the 2026 Fall semester (August‑December).
Duties & Responsibilities- Familiarity with integrating physical constraints (power flow equations, network limits) into data‑driven models (physics‑informed ML concepts)
- Understanding of representing power systems as graphs and applying graph‑based learning methods (e.g., graph neural networks)
- Exposure to developing machine learning models (preferably deep learning) for power system applications
- Working knowledge of AC/DC power flow, state estimation, and grid modeling fundamentals
- Running power flow simulations using tools such as PSS®E, PSLF, Panda power, or MATPOWER and understanding system modeling workflows
- Generating datasets using simulation tools for varying load, generation, and contingency conditions (N‑1, N‑k)
- Minimum 1 year of Master’s or Ph.D. (Electrical Engineering with a focus on power systems)
- Electrical engineering Ph.D. student with emphasis on AI for power systems
- Strong understanding of power flow and/or state estimation methods
- Familiarity with power system simulation tools (preferably PSS®E, PSLF, Panda power, or MATPOWER)
- Strong programming skills (preferably Python; MATLAB is a plus)
- Experience with machine learning or deep learning frameworks (e.g., PyTorch or Tensor Flow)
- Exposure to graph neural networks will be considered a plus
- Experience with data processing, numerical computing, and model development
- Strong technical writing and presentation skills
Undergraduate: $16–29 per hour
Masters: $27–33 per hour
Ph.D.: $31–36 per hour
These ranges are estimates and may vary based on applicant education, experience, skills, and internal equity.
As an EPRI Student, you will not participate in EPRI’s benefit programs, including health insurance, retirement benefits, vacation, sick leave (except as required by law), and holiday pay. However, you are eligible for Social Security, State Disability Insurance, and Workers’ Compensation Insurance.
Relocation assistance is not provided; the student will be responsible for any relocation costs.
EPRI participates in E‑Verify. EPRI is an equal‑opportunity employer. EEO/AA/M/F/VETS/Disabled.
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