Energy Systems Optimization Postdoc - AI & Parallel Computing

National Renewable Energy Laboratory; Golden (CO); On-site; USD 76,600 - 126,400; Full time

Benefits offered by this job

Medical, dental, and vision insurance

403(b) Employee Savings Plan

Paid holidays and personal time off

Job summary

The National Renewable Energy Laboratory in Golden, Colorado, is seeking a Postdoctoral Researcher focused on mathematical optimization for energy systems. This full-time position involves collaboration with experts, the development of algorithmic approaches, and publishing research in the energy sector.

The ideal candidate will possess a recent Ph.D., with knowledge in optimization formulation and tools like Pyomo and CPLEX. Benefits include health insurance and a competitive salary.

Qualifications

• Recent PhD graduate within the last three years.
• Experience formulating optimization problems in an algebraic modeling language.
• Familiarity with optimization solvers including CPLEX, Gurobi, and others.

Responsibilities

• Collaborate with domain experts to identify optimization opportunities.
• Adopt or develop new mathematical and computational frameworks.
• Identify and implement AI/RL to augment optimization algorithms.

Skills

Mathematical optimization

Parallel computing

Programming in Python

Experience with optimization solvers

Education

Ph.D. in a relevant field

Tools

Pyomo

CPLEX

Gurobi

MPI

OpenMP

PyTorch

Job description

The National Renewable Energy Laboratory in Golden, Colorado, is seeking a Postdoctoral Researcher focused on mathematical optimization for energy systems. This full-time position involves collaboration with experts, the development of algorithmic approaches, and publishing research in the energy sector.

The ideal candidate will possess a recent Ph.D., with knowledge in optimization formulation and tools like Pyomo and CPLEX. Benefits include health insurance and a competitive salary.