Energy Systems Optimization Researcher III

National Renewable Energy Laboratory; Golden (CO); On-site; USD 83,600 - 150,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Tuition reimbursement

403(b) Employee Savings Plan

Job summary

The National Renewable Energy Laboratory is seeking a Researcher III in Golden, Colorado, dedicated to mathematical optimization in energy systems. This full-time position offers a challenging and innovative work environment, requiring a Doctorate or substantial experience in the field.

Your responsibilities include collaborating with experts, developing optimization frameworks, and exploring AI integration with classical methods. A competitive salary range from $83,600 to $150,500 is offered along with comprehensive benefits including medical, dental, and retirement plans.

Qualifications

• Doctorate, Master’s with experience, or Bachelor’s with more experience required.
• Demonstrated understanding of optimization principles.
• Strong writing and communication skills necessary.

Responsibilities

• Collaborate to identify opportunities for mathematical optimization.
• Develop mathematical and simulation frameworks for optimization solutions.
• Explore integration of AI with classical optimization methods.
• Publish research findings and contribute to proposals.

Skills

Optimization fundamentals

Programming with Python

Programming with Julia

Experience with Pyomo

Experience with JuMP

Familiarity with CPLEX

Familiarity with Gurobi

Experience with distributed computing

Knowledge of scalable machine-learning frameworks

Education

Doctorate (PhD) in a relevant field

Master’s degree with at least 3 years of experience

Bachelor’s degree with at least 5 years of experience

Tools

CPLEX

Gurobi

Xpress

Cbc

Ipopt

MPI

OpenMP

PyTorch

Job description

The National Renewable Energy Laboratory is seeking a Researcher III in Golden, Colorado, dedicated to mathematical optimization in energy systems. This full-time position offers a challenging and innovative work environment, requiring a Doctorate or substantial experience in the field.

Your responsibilities include collaborating with experts, developing optimization frameworks, and exploring AI integration with classical methods. A competitive salary range from $83,600 to $150,500 is offered along with comprehensive benefits including medical, dental, and retirement plans.