Distribution System Modeling and Automation Engineer (Hybrid Schedule)

Eversource Energy

Berlin (CT)

On-site

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

Eversource Energy is seeking an Engineer to join the Advanced Modeling and Forecasting Team within System Planning. This role centers on hands-on Synergi Electric modeling and MATLAB‑based automation to support distribution planning and governance.

The incumbent will perform 8760-hour analyses, N‑1 contingency studies, fault-current studies, and develop scalable workflows for solver automation and data visualization, collaborating across IT and engineering teams to deliver defensible planning

Qualifications

  • Bachelor's degree in engineering or quantitative field preferred.
  • Advanced degree preferred.

Responsibilities

  • Perform advanced Synergi Electric special studies (8760‑hour, contingency, fault current).
  • Develop, execute, and document scenario-based planning analyses comparing wires and non-wires solutions.
  • Automate Synergi Electric Solver execution and batch large-scale studies.
  • Support Synergi Electric Model Management and data exchange with PSCAD.
  • Collaborate with planning, engineering, IT, and DER teams; produce decision-ready reports.

Skills

Synergi Electric
MATLAB
Simulink
Data analysis
Automation scripting

Education

Bachelor's degree in engineering
Advanced degree preferred

Tools

Synergi Electric Solver
PSCAD

Job description

Eversource will not offer immigration-related sponsorship for this position (e.g., H-1B, O-1, J-1, TN, E-3, etc.). Applicants requiring visa sponsorship to start employment with Eversource will not be considered.

Role and Scope of Position:

The Engineer will be part of the Advanced Modeling and Forecasting Team within the System Planning organization. This position focuses on advanced Synergi Electric modeling, special study modeling and MATLAB-based automation and model management capabilities.

A large portion of this role is dedicated to hands on Synergi Electric modeling and special studies, including capacity relief, contingency analysis, fault current analysis. The remaining part of the role focuses on automation, standardization, and model management, including MATLAB based automation of the Synergi Electric Solver, execution of large scale studies, and support of Synergi model governance functions.

The incumbent will support Eversource's strategy to deliver technically rigorous, repeatable, and defensible planning studies, working across System Planning, Distribution Engineering, DER Planning, Reliability and Resiliency, and IT. This role directly supports distribution investment decisions, regulatory facing analysis, and long range system planning.

Essential Functions:

Perform advanced Synergi Electric special studies , including:

  • 8760‑hour thermal and voltage analyses
  • N‑1 contingency studies
  • Fault current and protection‑related studies

Develop, execute, and document scenario‑based planning analyses comparing wires and non‑wires solutions under varying load growth, DER adoption, and contingency conditions.

Interpret modeling results and provide clear, defensible technical recommendations to planners, engineers, and leadership.

Support medium‑ and long‑range distribution planning studies , including capacity, asset performance, and system constraint identification.

Apply advanced MATLAB programming and software development practices to:

  • Automate Synergi Electric Solver execution
  • Conduct batch execution of large‑scale studies (e.g., 8760, contingency sets)
  • Postprocess and visualize results

Support and enhance Synergi Electric Model Management functions , including automation around model setup, versioning, execution, and results tracking.

Support integration between Synergi Electric and PSCAD , including model preparation, execution support, and data exchange for electromagnetic transient (EMT) studies.

Collaborate with cross‑functional teams to align assumptions, modeling inputs, and methodologies.

Develop and maintain standardized and automated workflows to improve efficiency, consistency, and auditability of special studies.

Produce decision‑ready reports, visualizations, and technical documentation .

Support task and project execution using enterprise tools (e.g., Jira).

Promote best practices in distribution modeling, automation, and model governance across the organization.

Technical Knowledge/Skill/Education/Licenses/Certifications:

Strong foundational understanding of distribution system planning, analysis, and operation

Hands‑on experience with Synergi Electric distribution system modeling , Synergi Electric Solver workflows, including special studies.

Demonstrated experience performing:

  • 8760‑hour simulations
  • Time series processing
  • Fault current and protection‑related studies

Required skills in MATLAB programming and Simulink simulations , including:

  • Automating Synergi Electric Solver execution
  • Batch processing of large study sets
  • Postprocessing and visualization of modeling results

Develop maintainable, tested, and version-controlled MATLAB code for Synergi Electric automation, large-scale batch studies, postprocessing, visualization, and reusable analysis workflows.

Integration of agentic and AI-based workflows in MATLAB

Experience with Synergi Electric-PSCAD workflows and support of EMT‑related studies is required or strongly preferred.

Familiarity with Synergi Model Management capabilities and automation of model lifecycle functions.

Knowledge of electric distribution system planning , including load growth, DER integration, voltage performance, and system constraints.

Ability to work with large and complex datasets and perform critical analysis of results.

Experience with SQL databases or structured enterprise data sources is a plus.

Understanding of IT‑aligned modeling workflows , documentation standards, and controlled execution environments.

Strong analytical, problem‑solving, and technical writing skills.

Effective verbal communication skills for conveying technical results to varied audiences.

Ability to collaborate effectively across planning, engineering, and IT organizations.

Education:

Bachelor's degree in engineering or quantitative field preferred.

Advanced degree preferred.

Experience:

3+ years of professional experience in the utility industry, power system planning, distribution engineering, power system analysis, or a closely relate

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