Faculty Scholar - Power Systems Optimization & Research

Lawrence Livermore National Laboratory; Livermore (CA); On-site; USD 100,000 - 167,000; Full time

Benefits offered by this job

Holiday pay

Sick leave accrual

Individual 401(k) contributions

Job summary

Lawrence Livermore National Laboratory (LLNL) invites a faculty scholar to engage in a 6-month collaborative research assignment in the Computational Engineering Division. The role focuses on optimization methods for electricity market simulations and risk-aware decision making, with a selection based on outstanding scholarship and overlap with LLNL's mission.

Start window March–August 2027; candidate must hold a PhD in an engineering or mathematics field and demonstrate independent,

Qualifications

• Ph.D. required in a relevant engineering or mathematical field.
• Proven ability to model risk and risk-averse behavior in electricity markets.
• Excellent written and oral scientific communication skills.

Responsibilities

• Provide expertise in short-term power system scheduling and related topics.
• Collaborate with leaders and teams to pursue research objectives.
• Perform theoretical and simulation studies on wholesale pricing impacts.
• Author complex scientific reports and deliver presentations.
• Participate in laboratory activities to advance ongoing research.
• Perform other duties as assigned.

Skills

Analytical skills

Advanced communication skills

Independent work

Risk modeling in electricity markets

Education

Ph.D. in Electrical Engineering

Ph.D. in Mechanical Engineering

Ph.D. in Industrial Engineering

Ph.D. in Operations Research

Ph.D. in Applied Mathematics

Job description

Lawrence Livermore National Laboratory (LLNL) invites a faculty scholar to engage in a 6-month collaborative research assignment in the Computational Engineering Division. The role focuses on optimization methods for electricity market simulations and risk-aware decision making, with a selection based on outstanding scholarship and overlap with LLNL's mission.

Start window March–August 2027; candidate must hold a PhD in an engineering or mathematics field and demonstrate independent,