Researcher III – Mathematical Optimization for Energy Systems

About the role

The Advanced Computing Solutions Group in the NLR Computational Science Center seeks a Computational Science Researcher with expertise in mathematical optimization and its application to energy systems. The ideal candidate will have a strong technical background and experience with AI/RL techniques.

Responsibilities

• Collaborate with domain experts to identify optimization applications.
• Implement and evaluate optimization algorithms and solutions.
• Develop new mathematical and computational frameworks as needed.
• Author publications and proposals to advance research directions.

Requirements

• Relevant PhD, Master's with 3+ years of experience, or Bachelor's with 5+ years of experience.
• Extensive experience with mathematical optimization and AI/RL techniques.
• Familiarity with parallel computing and machine learning frameworks.
• Strong technical writing and interpersonal skills.

Qualifications

• Demonstrated understanding of optimization principles and computational methods.
• Experience with Python, Julia, Pyomo, JuMP, and optimization solvers.
• Knowledge of distributed computing and scalable machine learning.
• Experience with transmission grid modeling and fault detection on microgrids.

Skills

• Strong problem-solving abilities.
• Excellent cross-disciplinary collaboration skills.
• A passion for advancing energy innovation.

Benefits

• Medical, dental, and vision insurance.
• Short- and long-term disability insurance.
• Pension benefits.
• 403(b) Employee Savings Plan with employer match.
• Life and AD&D insurance.
• Personal time off (PTO) and sick leave.
• Paid holidays.
• Tuition reimbursement.

Pay

$83,600 - $150,500 annually

Schedule

Full-time, 40 hours per week