Postdoctoral Researcher – Power Systems Modeling and Analysis

Advanced Energy Systems - Colorado School of Mines & NLR

Postdoctoral researcher developing power-system models for the National Laboratory of the Rockies. Forecasting demand, analyzing grid scenarios, and informing secure, affordable U.S.

Posted 8/5/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $76,600 - $126,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficiency in Python and applied statistical methods is essential for conducting research and developing models for U.S. energy systems. Strong writing skills and a record of publication in peer-reviewed literature are critical for communicating findings effectively.

Highest-signal resume keywords

Proficiency In PythonEnergy And Electricity ModelingApplied Statistical MethodsResearch And Publication ExperienceKnowledge Of U.S. Energy Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Energy Demand ForecastingCapacity Expansion ModelingData AnalysisModel DesignQuality Control Methods

Soft Skills

Team CollaborationIndependent WorkPresentation SkillsExceptional Writing Skills

Tools & Technologies

Data ArchitecturesLarge Datasets

Certifications & Qualifications

Federal Personal Identity Verification (PIV) Card

Industry Keywords

Power System PlanningEnd-Use Technology AdoptionLoad ProfilesEquipment Stock TurnoverDOE Rules And Guidance

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct research on the future of the U.S. power system
Support model design and code development for long-term energy systems planning and analysis
Focus on energy demand forecasting, end-use-sector load profiles, equipment stock turnover, and end-use technology adoption modeling
Contribute to advanced methods for capacity expansion modeling
Research power system planning and operation rules, trends, and issues
Execute quality control methods
Research, acquire, organize, and analyze large datasets
Develop flexible data architectures for infrastructure systems
Collaborate with analysts on other modeling teams to relate model inputs and outputs
Execute scenarios and analyze and interpret results for reporting
Communicate results internally and externally
Write and publish analyses in peer-reviewed journals and technical reports
Assist in developing proposals for new work

Requirements

What you’ll need

Recent PhD graduate within the last three years
Must meet educational requirements before employment start date
Proficiency using Python
Knowledge of U.S. energy systems
Proficiency in applied statistical and quantitative methods
Previous experience with energy and electricity modeling and data
Ability to work independently and as part of a team
Demonstrated experience presenting research findings to technical and non-technical audiences
Exceptional writing skills
Demonstrated record of publication in technical or peer-reviewed literature
Must be able to obtain and maintain a federal Personal Identity Verification (PIV) card
Must pass a favorable background investigation
Must pass a pre-employment drug test
Must be authorized to access the facility under DOE rules and guidance
Must be able to obtain work authorization and DOE facility access
Must disclose and potentially disengage from prohibited Foreign Government Talent Recruitment Program participation

Benefits

Comp & perks

Medical, dental, and vision insurance
Short-term disability insurance
Pension benefits
403(b) Employee Savings Plan with employer match
Life and accidental death and dismemberment (AD&D) insurance
Personal time off (PTO) and sick leave
Paid holidays
Eligibility for performance-, merit-, and achievement-based awards with a monetary component
Relocation expense reimbursement may be available for some positions
Robust professional development opportunities
Competitive benefits package