Senior Researcher - AI-Driven Energy Optimization

National Laboratory of the Rockies; Golden (CO); On-site; USD 83,600 - 150,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

403(b) Employee Savings Plan with employer match

Tuition reimbursement

Paid holidays and personal time off

Job summary

The National Laboratory of the Rockies is looking for a Researcher III specializing in Mathematical Optimization for Energy Systems in Golden, Colorado. This role emphasizes integrating AI techniques with classical optimization methods aimed at improving energy systems.

Qualified candidates should have a PhD, or a Master's with sufficient experience working on large-scale computing architectures. Exceptional interpersonal skills and a good understanding of optimization fundamentals are crucial.

Qualifications

• PhD or relevant Master's with 3+ years experience, or Bachelor's with 5+ years.
• Strong understanding of optimization fundamentals.
• Experience managing projects and demonstrating leadership in technical areas.

Responsibilities

• Collaborate on optimization research and algorithm performance.
• Develop new mathematical frameworks for optimization solutions.
• Identify AI/RL opportunities to enhance optimization.

Skills

Mathematical optimization

Python

Julia

Experience with optimization solvers

Familiarity with distributed computing

Education

PhD or Master's Degree

Bachelor's Degree with 5+ years experience

Tools

Pyomo

Gurobi

CPLEX

PyTorch

Job description

The National Laboratory of the Rockies is looking for a Researcher III specializing in Mathematical Optimization for Energy Systems in Golden, Colorado. This role emphasizes integrating AI techniques with classical optimization methods aimed at improving energy systems.

Qualified candidates should have a PhD, or a Master's with sufficient experience working on large-scale computing architectures. Exceptional interpersonal skills and a good understanding of optimization fundamentals are crucial.