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Postdoctoral Researcher Position
2 months ago
NREL is seeking a highly motivated and experienced postdoctoral researcher to support its modeling work for the NSF convergence Securing critical material supply chains by enabling phOtovoltaic circuLARity (SOLAR) phase II program.
Key Responsibilities- Develop and improve the Circular Economy Agent-Based Model (CE ABM) using recent updates from the Python package Mesa and functions developed in the wind industry version of the CE ABM.
- Add new agent types (landfills and regulators) and define their respective behavioral rules based on results from other activities of the SOLAR program.
- Integrate the CE ABM with a reverse supply-chain optimization model developed by Texas A&M University and account for greenhouse gas emissions and energy burdens related to PV end-of-life management.
- Conduct a local and, if relevant, global sensitivity analysis to identify the most sensitive parameters and guide data collection efforts, as well as identify tipping points and optimal options for PV circularity.
- Visualize simulation results, scenario analysis, and write journal manuscript(s) during the postdoctoral position.
- Must be a recent PhD graduate within the last three years.
- Hold (or be on track to obtain) a Ph.D. in engineering (e.g., environmental, chemical, industrial), operations research, economics, environmental science, or other energy or industrial ecology-related field, with a minimum 3.0 cumulative grade point average required.
- Demonstrated strong analytical skills and ability to conduct academic research.
- Demonstrated experience in Python programming.
- Knowledge and experience in agent-based modeling.
- Knowledge of PV technologies, energy systems, and the PV supply chain.
- Excellent coding skills in Python are required, and knowledge of other programming languages is a plus.
- Basic knowledge of Git or other version control software is preferred.
- Knowledge of the Python Mesa package is a plus.
- Ability to work independently to meet requirements and produce quality work in a timely fashion.
