Energy Security Researcher – Cascading Effects

GreenPowerMonitor, a DNV company

. Develop a consistent method for assessing direct and cascading effects from partial or complete loss of electricity supply .

Posted 10/21/2026full-timeOslo • NorwayMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in power generation, grid operation, and dependency analysis, with strong programming and data-analysis skills. Capable of integrating technical, geographical, and societal data into transparent models while effectively communicating findings to diverse stakeholders.

Highest-signal resume keywords

MSc Or PhD In Electrical Power EngineeringDependency AnalysisNetwork ModellingAI Or Natural Language ProcessingGIS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power GenerationGrid OperationDependency AnalysisNetwork ModellingConsequence ModellingSimulationData AnalysisProgrammingSystems EngineeringCybernetics

Soft Skills

AnalyticalCollaborativeClear Communication

Tools & Technologies

AINatural Language ProcessingGISKnowledge GraphsDecision-Support Tools

Certifications & Qualifications

Eligibility For Security Clearance In Norway

Industry Keywords

Power-System Resilience AnalysisSocietal ResilienceInfrastructure SystemsEnergy CompaniesCritical Societal Functions

About the role

Key responsibilities & impact

Develop a consistent method for assessing direct and cascading effects from partial or complete loss of electricity supply
Identify and model dependencies between power supply, end users, critical societal functions, infrastructure systems and industrial activities
Use open-source information and AI-supported methods to collect, classify and link information on assets, services, dependencies, backup arrangements and consequence pathways
Combine power-system, geographical and societal data in transparent models that account for outage duration, geographical extent, timing and recovery
Develop and validate prototypes through case studies, historical incidents, exercises and expert input
Document data sources, assumptions, uncertainty, model limitations and validation results
Translate research results into concepts and requirements for future DNV assurance services
Communicate methods and results through reports, publications, presentations and demonstrators
Collaborate with energy companies, infrastructure operators, authorities and academic partners
Develop and test digital methods and decision-support tools

Requirements

What you’ll need

A MSc or PhD in electrical power engineering, energy systems, systems engineering, cybernetics, data science or another relevant discipline
Solid knowledge of power generation and grid operation, including how loss of supply affects system operation and end users is an advantage
Documented experience with dependency analysis, network modelling, consequence modelling, simulation or system-of-systems analysis
Strong programming and data-analysis skills
Practical experience using AI or natural language processing to structure and analyse open-source information
Experience integrating technical, geographical and societal data into transparent models
GIS, knowledge graphs or power-system resilience analysis is an advantage
Systems-oriented and analytical, with the ability to identify dependencies and consequence pathways across sectors
Able to structure incomplete information into transparent, traceable and explainable models
Collaborative and able to work across power-system, data-science, risk and societal-resilience disciplines
Clear written and verbal communicator in English
Eligibility for security clearance in Norway may be required
Background checks will be conducted on all final candidates

Benefits

Comp & perks

The opportunity to shape future DNV assurance services at the intersection of power systems, data science and societal resilience
Applied research in close collaboration with energy companies, infrastructure operators, authorities and academic partners
The opportunity to develop and test digital methods and decision-support tools
An interdisciplinary and international research environment
Flexible working arrangements
Opportunities for professional development