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Princeton University

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Postdoctoral Researcher in Energy Systems Optimization and Planning at Princeton University Princeton University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Princeton University

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Operations Research
Industrial Engineering
Climate Policy
Statistics
Machine learning

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About this position

Princeton University’s ZERO Lab is recruiting a Postdoctoral Researcher in Energy Systems Optimization and Planning. The position focuses on improving and applying optimization-based macro-energy systems to evaluate and optimize low-carbon energy technologies, guide investment and research in innovative energy technologies, and support energy and climate policy and planning decisions.

The lab highlights two main research thrusts: applied operations research, including decomposition methods, machine learning, and multi-scalar modeling to improve computational performance and resolution of large-scale optimization models; and applied energy systems modeling, with emphasis on state-of-the-art macro-energy systems planning models and enhanced geothermal energy systems.

This is a postdoctoral opening at Princeton University in Princeton, New Jersey, United States. The post offers the Princeton University standard postdoc salary and benefits package. Scholars with experience in optimization, energy systems, machine learning, and/or geothermal energy systems are encouraged to apply, and more senior researchers are also considered.

Applications are accepted until filled. Interested candidates should apply via Interfolio and review the ZERO Lab website for additional details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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