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.
• Create new opportunities to integrate AI/RL with optimization.
• Write publications and proposals to advance research directions.

Requirements

• Relevant PhD or Master's degree with 3+ years of experience, or Bachelor's degree 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.
• Programming experience in Python and/or Julia.
• Experience with optimization software like CPLEX, Gurobi, etc.
• Knowledge of distributed computing and machine learning frameworks.
• Experience with AC-OPF modeling on transmission grids.
• Interest in interdisciplinary research and collaboration.

Preferred Qualifications

• Experience with diverse and inclusive research teams.
• Background in HPC systems.

Pay

$83,600 - $150,500 annually

Schedule

Full-time, 40 hours per week