Demo

Postdoctoral Research Associate - Grid Modeling/Controls

Oak Ridge National Laboratory
Knoxville, TN Full Time
POSTED ON 1/30/2025
AVAILABLE BEFORE 2/28/2025
Requisition Id 14473

Overview:

The Grid Modeling and Controls (GMC) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to perform R&D in the areas of high-penetration or all power electronics grid modeling, stability analysis, and control design. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated and independent in conducting research under general guidance, and is expected to prepare manuscripts for scientific publication and present the work to sponsors and at conferences.

The GMC Group supports the energy security and prosperity mission of the Energy Department (DOE) through transformative science and technology solutions, including research supporting the Office of Electricity (OE), Office of Cybersecurity, Energy Security and Emergency Response (CESER) and Office of Energy Efficiency and Renewable Energy (EERE) on the integration of new technologies, identifying and validating new ways of using existing and emerging grid assets to ensure grid reliability, grid resilience, environmental stewardship, and affordability of energy supplies. The GMC group focuses on dynamic grid modeling, analysis, and control R&D specifically related to power electronics-based devices, develops and designs new grid devices deploying new theory and methodologies, and conducts system operation and control R&D of all power electronics grids.

Major Duties/Responsibilities:

  • Develop and advance the state-of-the-art smart inverter control functionalities.
  • Develop new methodologies and algorithms to address future grid control challenges.
  • Develop analytical tools for stability analysis studies of future power grids with high-penetration power electronics.
  • Develop inverter impedance modeling and characterization using different methodologies.
  • Develop new methodology for large-scale power grid system decomposition, simulation and analysis.
  • Develop and verify new methods and algorithms and publish research outcomes.

Basic Qualifications:

  • A Ph.D. degree in electrical engineering completed within the last five years.
  • Expertise in inverter impedance modeling, small-signal and large-signal stability analysis.
  • Expertise in advanced inverter controls (e.g. grid-forming, grid-following) and grid supporting (during abnormal or fault conditions).
  • Experience in Matlab, C/C and Python programming.

Preferred Qualifications:

  • Experience is using machine learning for grid applications.
  • Strong mathematic skills and knowledge of graph or complex network theory.
  • Understanding of power systems operation and control framework.
  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.

Special Requirements:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Letters of Recommendation: 3 letters of references are required.

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to recruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

  • Login to your account via jobs.ornl.gov
  • View Profile
  • Under the My Documents section, select Add a Document

About ORNL

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 7,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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