Energy Systems Scientist

Argonne National Laboratory

Argonne, IL

Job posting number: #7107073 (Ref:413877)

Posted: August 3, 2022

Application Deadline: Open Until Filled

Job Description

Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) works on innovative research to enhance the resilience, efficiency, and sustainability of power grids. CEEESA is seeking talented and motivated researchers to provide support to enhance our capability in power system protection and reliability quantification areas.

The staff researcher will work with a team of researchers on developing novel protective solutions (models) to enhance the power system's reliability and resiliency. The candidate will perform theoretical study and algorithm development and support the principal investigator in DOE-sponsored projects. The candidate is expected to authorize peer-reviewed journal/conference publications, develop tools or software packages, and help disseminate research results to academic and industry communities. The successful candidate will draft research proposals and apply for funding from federal agencies and private industry.

Position Requirements

  • Advanced degree in a relevant science or engineering field such as Electrical Engineering, Mechanical Engineering, Applied Mathematics, or other relevant domains.

  • The candidate is expected to have a basic understanding of protection systems in power grids.

  • Knowledge and independent research capability in linear systems, control, and communication systems.

  • Ability to design research projects in power system areas; develop, test, and apply relevant analytic methods; and clearly present results.

  • Skill in oral and written communication, particularly in effectively integrating information from various sources into cohesive analyses.

  • Skill in producing end-results within specific timeframes through a combination of self-motivated and manager-directed initiatives, often with tight deadlines. 

  • Proficient in implementing the algorithms and methods with mainstream programming languages such as Julia, Python, Java, C/C++, etc.

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

Preferred Qualifications:

  • A successful candidate will have a solid background in power system protection system modeling and transient analysis, a track record of publications in IEEE Transaction journals, and a highly skilled implementation capability.

  • Knowledge and independent research capability in power system dynamic model and simulation, especially inverter-based resource model, with track records of publications.

  • Proficiency in writing scientific research articles and presenting results at academic conferences.

  • Proficiency in implementing machine learning algorithms with mainstream frameworks, such as Tensorflow, Pytorch, Keras.

RD2: Bachelor's degree and 6+ years of work experience, or master's degree and 4+ years of work experience, or Doctorate and 2 years or their equivalents.

Job Family

Research Development (RD)

Job Profile

Eng Systems Modeling-Simulation-Analysis 2

Worker Type

Regular

Time Type

Full 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.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.



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.


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More Info

Job posting number:#7107073 (Ref:413877)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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