Postdoctoral Researcher – Mathematical Optimization for Energy Systems

About the role

The Advanced Computing Solutions Group in the NLR Computational Science Center seeks a Postdoctoral Researcher – Computational Sciences, with a focus on mathematical optimization and its application to energy systems.

Responsibilities

• Collaborate with domain experts to identify where mathematical optimization can be applied.
• Develop and implement optimization algorithms and solutions using algebraic modeling languages like Pyomo, JuMP, PuLP, and GAMS.
• Utilize mathematical optimization solvers such as CPLEX, Gurobi, Xpress, Cbc, Ipopt, and their capabilities.
• Integrate Artificial Intelligence (AI) techniques, particularly reinforcement learning (RL), with classical optimization methods.
• Contribute to the development of new research directions and proposals.

Requirements

• Recent PhD graduate within the last three years.
• Extensive experience with mathematical optimization formulations and algorithms.
• Familiarity with parallel algorithmic approaches for large-scale optimization problems.
• Good understanding of optimization fundamentals, both computational and mathematical.

Qualifications

• Experience with distributed computing frameworks such as MPI and OpenMP.
• Programming experience in Python and/or Julia.
• Experience with scalable machine learning frameworks, such as PyTorch.
• Experience working in diverse, inclusive, and cross-disciplinary research teams.

Skills

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

Benefits

• Medical, dental, and vision insurance.
• Short-term disability insurance.
• Pension benefits.
• 403(b) Employee Savings Plan with employer match.
• Life and accidental death and dismemberment (AD&D) insurance.
• Personal time off (PTO) and sick leave.
• Paid holidays.
• Performance-, merit-, and achievement-based awards.
• Relocation expense reimbursement (eligibility varies).