Postdoctoral Appointee - Researcher
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7175513 (Ref #: 416450)
- Posting Date: Sep 1, 2023
- Application Deadline: Open Until Filled
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.
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.
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)
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.