Postdoctoral Appointee

The candidate will join the Electricity Markets team in the Power Systems and Markets Research group. The candidate will develop power systems and electricity market models, as well as analytical tools that support energy, economic, and financial analyses of power grid planning and operations, and the interaction with other infrastructures. This includes model development for generation and transmission expansion planning, multi-stage production cost simulations, and probabilistic reliability assessment models. Some of these tools will require the development of underlying mathematical optimization or solution methodologies and analytics frameworks. Target applications specifically include analysis of emerging ISO/RTO wholesale market designs and their role in supporting the U.S. clean energy transition. The incumbent will conduct research related to a wide range of topic areas including the analysis of energy and power systems, optimizing the integration of renewable energy and other emerging technologies, and interdependencies between power grid, transportation, water systems, and climate considerations. This position may require domestic and international travel.

• Implements power grid planning/operations algorithms and tools and conducts data analysis related to energy and power systems, with emphasis on the following areas: (1) electricity market analysis. (2) renewable energy integration; (3) energy storage

• Supports multidisciplinary teams in the application of these methods and tools to complex issues in the domains of climate, environmental, water, and energy system analysis.

• Prepares reports, papers, and presentations for conferences, workshops, and technical journals.

• Supports program development including the preparation of proposals and participating in sponsor interactions.

Position Requirements

• Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) Engineering, Science or a related field.

• Knowledge of generation and transmission expansion planning, production cost simulation, power systems economics, electricity market design, issues surrounding the integration of variable renewables, and environmental issues.

• Skills in developing and/or applying innovative optimization formulations and other tools to model and simulate energy and power systems or their components in Julia.

• Knowledge and experience with analyzing large data sets and developing and using statistical tools, e.g., Python, R.

• Ability to work in a multidisciplinary team environment.

• Skills in oral and written communication at all levels of the organization.

• Understanding of basic financial and economic principles.

• Experience in academic writing and publication.

• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

• Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.

Preferred Qualifications:

• Experience with a commercial production cost model such as Aurora or PLEXOS.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $70,758.00 - $117,925.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.