Postdoctoral Researcher – Power Systems Modeling and Analysis

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🔥 3 hours ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $76.6k - $126.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Advanced Energy Systems - Colorado School of Mines & NLR

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

📚 Education

⚡ Energy

🔬 Science

Education • Energy • Science

Advanced Energy Systems - Colorado School of Mines & NLR is an interdisciplinary graduate engineering program created through a partnership between the Colorado School of Mines and the National Laboratory of the Rockies (NLR). The program educates and trains master’s and doctoral researchers to address the technical, economic, and environmental challenges of modern energy infrastructure, emphasizing secure, resilient, and adaptive systems. Students collaborate with faculty and NLR researchers, use shared state-of-the-art facilities, work with industry, government, and nonprofit partners, and prepare for careers solving large-scale energy-system problems.

📋 Description

• 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

• 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

• 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