Distribution Modeling and Analytics Utilities Student Employee in Knoxville, Tennessee at EPRI
Explore Related Opportunities
Job Description
Requisition ID: REQ-4156
Position Type: Full time
About Us: About Us
EPRI provides thought leadership, industry expertise, and collaborative value to help the electricity sector identify issues, technology gaps, and broader needs that can be addressed through effective research and development programs for the benefit of society.
If you need help during the application process, please contact us at applyhelp@epri.com.Job Title:Distribution Modeling and Analytics Utilities Student EmployeeLocation:Knoxville, TNJob Summary and Description:
Distribution Modeling and Analytics Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.
The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies. This position supports distribution system modeling, simulation, and analysis across a range of topics to advance the distribution system.
Job Functions:
- Distribution modeling and analysis using OpenDSS
- Apply and derive advanced data analytics
- Evaluating advanced grid technologies and applications (PV with smart inverters, storage, distribution management systems).
Preferences:
- BS in electrical engineering and 1 or more years of power industry experience or graduate coursework
- Experience/course work regarding distribution system modeling & simulation
- Must be able to follow written and verbal directions
Ideal Candidate:
- Experience using OpenDSS or commercial distribution planning software( CYME, Synergi, Milsoft)
- Experience with coding (e.g. python, C#, etc.) and data analysis (machine learning, statistical methods, etc.)
- Knowledge of distribution system modeling, utility measurement data, or advanced load flow simulation practices
- Outstanding problem solving and analytical skills
- Self-motivated with excellent time management
The hourly rate range for Student positions are:
Undergraduate: $16-29 per hour
Masters: $27-33 per hour
Ph.D: $31-36 per hour
These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI’s Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers’ Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com
Scan to Apply
Just scan this QR code to apply from your phone.
- Fast
- Easy
- Apply on the go