Staff Level III - Distribution Grid Modelling and Analytics

Electric Power Research Institute, Inc.; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Electric Power Research Institute, Inc. seeks a Staff Level III in Dublin to advance distribution grid modelling and analytics for DER integration, resilience, and grid modernization.

You will work on AI-enabled planning studies, data-driven measurement analytics, and model validation using utility data. The role requires 2–3 years in power system modelling, strong Python/C#/Java skills, and experience with distribution modelling tools.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience required.
• Preferred MS or PhD in Electrical Engineering with Power System emphasis.
• Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Responsibilities

• Perform advanced modelling, simulation, and analytics for distribution planning and operations.
• Contribute to development of new tools, methodologies, and research approaches.
• Evaluate emerging technologies through analytical and field-based studies.
• Publish technical papers and present at industry events.
• Collaborate with utilities, vendors, and researchers on projects.

Skills

Power system modelling

Simulation

Analytics

Python

C#

Delphi

Java

AMI/SCADA data

Education

Bachelor’s degree in Electrical Engineering or technical field

MS or PhD in Electrical Engineering (preferred)

Tools

OpenDSS

CYME

Synergi

Milsoft

PowerFactory

EMTP

PSCAD

Job description

Job Title and Location

Staff Level III - Distribution Grid Modelling and Analytics

Location: Dublin, Ireland, EEU - Ireland

Job Summary and Description

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonisation, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modelling, 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 modernisation, DER integration, protection, resilience, operations, and emerging technologies. This position conducts research in advanced power system modelling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Research Areas

• Advanced distribution system planning and operations
• Integrating DER into planning and operations
• Designing non-wires alternatives and other flexible solutions
• Hosting capacity, electrification, and grid readiness assessments
• Grid modernisation technology deployment and optimisation
• Distribution automation and advanced control strategies
• Reliability and resilience analytics
• AI-enabled distribution planning, operations and decision support
• Advanced power system analytics, AI, and machine learning applications
• Digital twins and model-driven analytics
• Data-driven model development, verification, and validation
• Measurement data quality and analytics
• Development of next-generation planning and operational tools

Education & Experience

• Bachelor’s degree in a technical field or equivalent experience required
• Preferred MS or PhD in Electrical Engineering with Power System emphasis
• Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred. For advanced degree holders, job experience requirement might be relaxed.
• Demonstrated ability to independently contribute to multiple projects simultaneously
• Good written and verbal communication skills
• Self-motivated with the ability to work effectively in multidisciplinary teams

Ideal Candidate

• Strong knowledge of power system fundamentals, specifically distribution systems
• Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
• Experience with distribution system model development, validation, calibration, and quality assurance.
• Experience utilising utility measurement data from AMI, SCADA, and other field sources
• Proven ability to conduct power systems analytical studies, with an emphasis on distribution modelling and simulation
• Demonstrated experience with one or more industry modelling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD
• Experience with data cleaning, data quality assessment, and data integration
• Experience applying AI, machine learning, or advanced analytics techniques to power system applications
• Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
• Experience performing steady-state, dynamic, and electromagnetic transient studies
• Experience modelling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads
• Must be able to exercise judgment, diligence, and attention to detail and demonstrate an aptitude for carrying out responsible technical assignments
• Passion for solving emerging utility challenges through advanced analytics and research

Key Responsibilities and Requirements

Performs complex engineering and scientific research with limited supervision. Collaborates directly with utilities, technology vendors, industry stakeholders, and EPRI researchers.

Key responsibilities include:

• Makes significant contributions to advanced modelling, simulation, and analytics projects
• Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges
• Evaluate emerging technologies and applications through analytical and field-based studies
• Contribute to technical publications, conference papers, webinars, and industry presentations
• Support proposal development and strategic research planning activities
• Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
• Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
• Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
• Conduct model verification and validation activities using utility measurement data
• Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Knowledge, Skills, and Abilities

• Must have 2-3 years experience in power system modelling, simulation, analytics, or related disciplines
• Good verbal and written communication skills
• Ability to communicate and present research effectively to technical and industry audiences
• Ability to independently conduct research and solve complex technical problems with limited supervision
• Ability to understand how work fits across technical areas
• Strong analytical thinking, attention to detail, and intellectual curiosity
• Works across multiple projects, technical disciplines and multi-disciplinary teams
• Works closely with contractors or staff to complete project research
• Demonstrates initiative through technical excellence, innovation, and collaboration

Export Control

EPRI is committed to complying with the regulatory framework governing export control, consisting of international treaties, U.S. laws, regulations and trade sanctions, and where applicable, foreign laws governing export control. These include the International Traffic in Arms Regulations (ITAR), Part 810 nuclear export regulations, and the Export Administration Regulations (EAR). It is a critical requirement of this role that the successful candidate will have to work with export-controlled technology / information. As a result, prior to applying for this role, please ensure you satisfy yourself as to your ability to access such export-controlled technology / information without further authorization from government.

About EPRI

Together Shaping the Future of Energy 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 [e-mail].