Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.

The Department of Engineering and Public Policy (EPP) is a unique department in the College of Engineering at Carnegie Mellon University which addresses important problems in technology and policy.

Carnegie Mellon University’s Department of Engineering and Public Policy is seeking an exceptional postdoctoral researcher to advance cutting-edge, policy-relevant analysis of the U.S. energy system through open-source modeling and collaborative research.

Core Responsibilities:

• Lead the development, maintenance, and extension of the Temoa modeling framework, including its core architecture and documentation.
• Maintenance of an input database representing the U.S. energy system.
• Help coordinate modeling and analysis activities across a large, interdisciplinary team and contribute to open-source software management, including version control, issue tracking, and community engagement.
• Conducting original research using energy systems optimization models to inform pressing U.S. energy and climate policy questions.
• Other duties as assigned.

Qualifications:

• Ph.D. in engineering, operations research, economics, or a related field.
• Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas, or R.
• Experience with open-source software development practices, including GitHub, is essential.

Preferred Qualifications:

• Experience working with large-scale energy system models or integrated assessment models, as well as familiarity with U.S. energy systems, climate policy, and technology pathways.
• Experience managing complex datasets and relational databases is also desirable.