Postdoctoral Appointee - Researcher
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7175654 (Ref #: 416479)
- Posting Date: Sep 2, 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 development of scientific software and using it to conduct transmission and distribution system analysis.
Candidates will be required to work in the following areas:
Perform modeling and analysis of transmission systems (steady state and dynamics). Mostly using PSS/E python interface.
Perform modeling and analysis of distribution systems (steady state). Mostly using OpenDSS Python binding.
Develop/validate optimization algorithms applied to transmission and distribution systems.
Additionally, candidates will:
Give seminars and prepare journal articles, technical reports, and presentations for conferences and workshops.
Support open-source software development efforts for DOE projects.
Ph.D. in Electrical Engineering.
Fundamental understanding of power system modeling and numerical methods.
Familiarity with PSS/E, OpenDSS.
Understanding of at least one programming language is preferred.
Familiarity with version control (Git) and containers (Docker/Podman) is preferred.
Ability to work effectively both independently and in a collaborative team environment.
Ability to problem-solve and analytical skills.
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.
Interested candidates should submit:
A detailed CV.
A cover letter describing your research experience and interests.
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.