#501A785C549F6C6D87BB804C79B293BA-3e0481
olicy constraints, and emissions targets into robust computational models.
Support multi-region and inter-regional planning with long-term temporal and spatial resolution.
Implement and improve large-scale optimization models, develop approaches for scenario analysis, sensitivity analysis, and long-horizon uncertainty.
Build maintainable, well-tested, and well-documented code for production-grade planning tools.
Design modular architectures that allow new technologies, policies, and constraints to be added over time.
Improve runtime performance and memory efficiency for large datasets and long planning horizons.
Integrate capacity expansion results with downstream models,
Ensure data traceability and reproducibility of planning results.
Collaborate with domain experts to validate model behavior and assumptions.
Clearly communicate technical concepts and modeling results to both technical and non-technical stakeholders.Contribute to documentation and user-facing explanations of model logic and limitations.
Required Qualifications
5-8 years of experience with bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Operations Research, or a related field
Strong programming skills in Python, Java, C# or similar. Familiarity with software engineering best practices (version control, testing, code reviews).
Experience developing optimization-based models or large-scale analytical software.
Ability to work with large datasets and complex model inputs.
Preferred Qualifications
Experience with power system planning, energy markets, or grid modeling.
Familiarity with capacity expansion models, resource adequacy, or long-term planning frameworks.
Knowledge of renewable energy, storage, transmission planning, or decarbonization policy.
Additional Information
Relocation Assistance Provided: Yes