Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you. You won’t just find a job here; you’ll find your career. Review the position below and apply today.
We offer a hybrid 3-2 work schedule (three days in the office, two days of teleworking) to accommodate the need for flexibility.
JOB SUMMARY: WE SEEK JOINT EXPERTISE IN POWER, STATISTICS, AND MODELING
Our team comprises a critical part of the Strategic Initiatives team on the Electric Transmission organization. We focus on addressing a broad spectrum of transformational and innovative projects with a focus on solving problems through real grid measurements, data analytics, and custom developed modeling and software capabilities built on the backbone of our time series data. A successful candidate will be able to:
- Support the development of an array of analytical tools and capabilities aimed at observing, diagnosing, and surfacing system behavior that can help improve grid management.
- Explore new research areas for time-series analysis in power systems.
- Develop and evaluate new system evaluation methodologies built on the premise of improving our observability of dynamic system behaviors through the creative use of signal analysis.
REQUIRED KNOWLEDGE, SKILLS, ABILITIES & EXPERIENCE
The knowledge, skills, abilities and experiences required for entry into this job include the following:
- Engineering principles: A strong engineering background, preferably in electric power systems. Other engineering backgrounds may be considered if presented in combination with a strong electric power background.
- Power system fundamentals: steady-state and dynamic stability analysis (e.g. PV curve, transient stability, eigen analysis). The candidate should be able to extend this theoretical knowledge to large-scale, practical problems to identify implementable solutions.
- Data Science & Data Analysis: The candidate should possess strong software development skills and frequently use code to solve analytical and automation problems. More specifically, the candidate must demonstrate a high degree of proficiency in developing tools and performing analysis using Python and the common Python scientific computing libraries.
- Real-world measurement data analysis: experience analyzing and modeling of electric power systems (e.g. inertia estimation, mode estimation, model validation, state estimation).
- Operational model analysis: This includes the application of signal processing techniques to power system analysis (Fourier transform, SVD, time-frequency analysis).
- Autonomy and self-starting: We are spearheading a brand-new industry capability; we are seeking candidates with the ability to operate independently while aligning to the joint mission of our team.
- Critical thinking: Our team requires an ability to think abstractly, pursue unknown unknowns, and the motivation to persevere even in failure. What we are solving for is new and challenging – we require out of the box thinkers.
EDUCATION REQUIREMENTS
- Candidates must have completed a Bachelor’s degree in an engineering discipline and be working on a Master’s or preferably a Ph.D. degree from an ABET accredited Engineering program at a four year or post-graduate college or university.
- Must have an anticipated graduation date of Winter 2026 or later.
- Candidates must have a 3.2 minimum cumulative GPA.
- Electrical Engineering with a focus on power systems is strongly preferred.
TEST DESCRIPTION
No Testing Required
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