Postdoctoral Researcher- Energy- Economic Modeling
The successful candidate would work with senior researchers to develop a power systems modeling tool to incorporate investor behavior and wholesale electricity market design impacts across multiple timescales into long-term planning decisions. The candidate will be responsible for model and database development, including scaling the resulting model to computationally tractable levels. The candidate would communicate their work through \ peer-reviewed journals articles and presentations.
Previous experience with energy and electricity or economic modeling is required. Experience with equilibrium-based modeling approaches, such as mathematical programs with equilibrium constraints (MPECs) or Mixed Complementary Problems (MCPs), as well as experience with agent or actor-based modeling, uncertainty analysis, or other behavior-related approaches is strongly preferred. The ideal candidate will also have experience with the analysis of the integration of renewable generation, data processing, and a deep understanding of wholesale power markets. Demonstrated experience presenting research findings to broad—technical and non-technical—audiences is also desired.
Specific job duties may include:
- Demonstrated experience in power systems, wholesale energy markets, and model development,
- Developing and implementing new advanced methods for power system capacity expansion modeling, including representation of investor behavior, market design, and power system operation across multiple timescales,
- Developing data architecture to describe grid system requirements and resource capabilities,
- Scaling, testing, and validating the resulting model structure using high performance computing resources and advanced solving techniques,
- Writing and publishing results of methods in peer-reviewed journals and/or technical reports,
- Collaborating with analysts working on other modeling teams to relate inputs and outputs across models.
Additional Knowledge & Skills
- Significant experience with applied optimization and simulation techniques,
- Demonstrated strong computer programming skills including languages relevant to model development, optimization, and database analysis (Preferred languages: GAMS, Julia, Python, R),
- Exceptional written and oral communication and interpersonal skills,