Graduate (Year-Round) Intern - Industrial and Fuel Supply Optimization Modeling/Analysis

About the role

The Integrated Modeling and Economic Analysis Group develops and applies energy and economic models to evaluate and inform the evolution of the energy system and the associated implications for the economy, environment, and society. We are seeking a graduate-level intern to contribute to a growing body of research evaluating alternative pathways to satisfy increasing energy demand from the US economy.

Responsibilities

• Assist in research that generates independent, high quality, and reproducible results
• Research, acquisition, and analysis of complex datasets requiring substantial pre-processing and harmonization
• Aid in the development of new data architectures to flexibly describe infrastructure systems
• Execute scenarios and visualize, analyze, and interpret results
• Support senior researchers in the design, implementation, and reporting of the research project
• Contribute to technical reports, journal articles, and presentations

Requirements

• Minimum of a 3.0 cumulative grade point average
• Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution
• Post Undergraduate: Earned a bachelor’s degree within the past 12 months
• Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution
• Post Graduate: Earned a master’s degree within the past 12 months
• Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution

Qualifications

• Demonstrated experience in code-based data management and analysis using leading coding environments: e.g., Python
• Working knowledge of industrial energy and fuels literature
• Exceptional teaming and organizational skills
• Familiarity with GAMS

Preferred Qualifications

• Working knowledge of all subsectors of the US energy system and associated markets, policies, and regulations
• Pursuing a PhD in economics (with a focus on energy/environment), policy, engineering or other related field; however, we encourage applicants with training in any field to apply if they have interest and experience in the energy sector and experience with quantitative methods, especially optimization
• Familiarity with developing and applying optimization models (ideally in energy system applications) and experience with leading modeling coding environments, e.g., GAMS, MPSGE, Julia
• Experience working with git for code management in a collaborative development setting