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. This role involves collaborating with domain experts, implementing and evaluating optimization algorithms, and leveraging AI/RL techniques.

Responsibilities

• Collaborate with domain experts to identify optimization applications and stay updated on related research.
• Develop and apply optimization models and algorithms in physical systems.
• Integrate AI/RL techniques to enhance classical optimization methods.
• Contribute to research publications and proposal writing.

Requirements

• Recent PhD graduate within the last three years.
• Experience with optimization formulations and algorithms.
• Familiarity with parallel algorithmic approaches for optimization problems.
• Strong understanding of optimization fundamentals.

Qualifications

• Experience with algebraic modeling languages like Pyomo, JuMP, PuLP, and GAMS.
• Knowledge of mathematical optimization solvers such as CPLEX, Gurobi, Xpress, Cbc, Ipopt, and their capabilities.
• Programming skills in Python and/or Julia.
• Experience with scalable machine learning frameworks like PyTorch.
• Experience working in a diverse, inclusive, and cross-disciplinary team environment.

Skills

• Artificial Intelligence (AI) and Reinforcement Learning (RL).
• Distributed computing frameworks such as MPI and OpenMP.
• Scalable machine learning frameworks.
• Parallel algorithmic approaches for optimization problems.

Benefits

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