Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis is seeking a Postdoctoral Researcher passionate about shaping the future of distributed energy resources (DER) and renewables integration into the power grid. The successful candidate will engage in cutting-edge research involving grid modeling and control, cybersecurity, and applied machine-learning in the area of the power grid analysis and operations.

Candidates will be required to work in at least 3 of the following areas:

• Perform modeling and analysis of large-scale power distribution systems with DERs.

• Develop algorithms for the operation and optimization of microgrids and DERMS.

• Develop solutions for aggregated DERs to support grid services and market participation.

• Develop cyber security solutions for DER integrated power grid using advanced machine learning techniques.

Additionally, candidates will:

• Support multidisciplinary teams in developing solutions and technologies to address complex problems in the domains of energy systems and the power grid.

• Give seminars and prepare journal articles, technical reports, and presentations for conferences and workshops describing research areas and results of R&D efforts.

• Support open-source software development efforts for DOE projects.

Position Requirements

• Ph.D. in Electrical Engineering, Computer Science, Operations Research, or a related field.

• Solid mathematical/statistical foundations and experience in cyber-physical systems (e.g., power systems) modeling, analyses, and optimization.

• Experience with scripting in Python/MATLAB will be required.

• Ability to work effectively both independently and in a collaborative team environment.

• Experience in interdisciplinary research.

• Ability to demonstrate problem-solving and analytical skills.

• Strong oral and written communication skills at levels of the organization.

• Experience publishing in high-impact journals and assisting in proposal development.

• A successful candidate must be able to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. 

Preferred Qualifications:

• Experience with the power distribution system, DER operation, grid modeling, and simulation.

• Background in machine learning, specifically reinforcement learning and federated learning, as well as game theoretic modeling.

• Familiarity with PSS/E, OpenDSS.

Interested candidates should submit:

• A detailed CV

• A cover letter describing your research experience and interests.

• GitHub profile (if available)

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