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CED Faculty Scholar

LLNL


Job Location:

Livermore, CA - USA

Monthly Salary: Not provided by the employer
Posted: 15 October 2026 (16 hours ago)
Application Deadline: 12 January 2027
Vacancies: 1 Vacancy

Job Summary

We have an opening in the Computational Engineering Division within the Engineering (ENG) Principal Associate Directorate (PAD) for a faculty member to engage in a 6-month collaborative research assignment of mutual interest to further their research goals. Opportunities include providing research in optimization methods for simulation of electricity markets in the medium and long term. The Faculty Scholar will be selected based upon their outstanding scholarship and research expertise and overlap with the Labs mission. Please include a cover letter and your CV.

Essential Duties

  • Provide expertise in one or more of the following areas: short-term power system scheduling (e.g. unit commitment and optimal power flow) risk quantification and modeling in power systems pricing mechanisms in electricity markets ancillary services modeling and capacity expansion planning.
  • Collaborate with technical area leaders project leaders and program management in a multidisciplinary team environment to achieve research objectives.
  • Perform theoretical and simulation studies of wholesale pricing impacts and mechanisms to capture impact of beyond-horizon constraints (e.g. large thermal commitment storage and hydro management) in short-term electricity markets.
  • Author complex scientific reports and deliver presentations to both internal and external scientific audiences.
  • Participate in laboratory activities to both provide and gain exposure to ongoing research.
  • Perform other duties as assigned.

Qualifications :

  • Must be available to start March 2027 - August 2027.
  • Must be a faculty or scientist affiliated at an accredited institution with a Ph.D. in Electrical Engineering Mechanical Engineering Industrial Engineering Operations Research Applied Mathematics or equivalent level of demonstrated knowledge.
  • Significant experience modeling risk and risk averse behavior in electricity markets and power systems.
  • Analytical skills necessary to solve complex research problems and make decisions independently.
  • Advanced communication skills to author technical and scientific reports publications and invited papers and to deliver scientific presentations.
  • Experience working effectively independently as well as in a team with minimal supervision in a goal-oriented environment.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Temporary Faculty Scholar appointment.

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