Postdoc: Energy Systems Modeling & Open-Source Research

VS-Postdoc; Pittsburgh (Allegheny County); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Medical, prescription, dental, and vis

Retirement savings with employercon-

Tuition benefits

Paid time off & holidays

Life and AD&D insurance

Pittsburgh Regional Transit bus pass

Family Concierge Team

Fitness center access

Job summary

Carnegie Mellon University’s Department of Engineering and Public Policy seeks a postdoctoral researcher to advance policy-relevant energy system analysis using open-source tools like Temoa. The role focuses on developing modeling capabilities, coordinating cross-disciplinary work, and contributing to transparent scenario-based insights for U.S.

energy futures. The successful candidate will conduct original research, manage data and software workflows, and collaborate with a broad team to inform

Qualifications

• Ph.D. in engineering, OR, economics, or a related field.
• Strong energy systems modeling and optimization experience.
• Experience with Python, Pyomo, Pandas, or R for data analysis.
• Experience with open-source software development (GitHub).

Responsibilities

• Lead development, maintenance, and extension of the Temoa modeling framework and documentation.
• Maintain an input database representing the U.S. energy system.
• Coordinate modeling and analysis across a large interdisciplinary team and contribute to open-source software management.
• Conduct original research using energy systems optimization models, addressing uncertainty, technology evolution, and policy dynamics.
• Other duties as assigned.

Skills

Energy systems modeling

Optimization

Scientific programming

Data analysis

Collaborative teamwork

Open-source development

Education

Ph.D. in engineering / OR / economics

Tools

Python

Pyomo

Pandas

R

GitHub

Job description

Carnegie Mellon University’s Department of Engineering and Public Policy seeks a postdoctoral researcher to advance policy-relevant energy system analysis using open-source tools like Temoa. The role focuses on developing modeling capabilities, coordinating cross-disciplinary work, and contributing to transparent scenario-based insights for U.S.

energy futures. The successful candidate will conduct original research, manage data and software workflows, and collaborate with a broad team to inform