Research Engineer - Operations Research: GE Vernova Advanced Research

Junior PhD Engineer

GE Vernova Advanced Research Center is seeking a highly motivated and technically skilled Junior PhD Engineer to join our Controls and Optimization team. As part of a multidisciplinary group of scientists and engineers, you will contribute to solving complex industrial challenges using mathematical modeling, optimization, and simulation. You will work on projects spanning energy systems, manufacturing, logistics, supply chain management and emerging technologies, collaborating with domain experts to deliver impactful solutions.

This role offers a unique opportunity to apply cutting-edge research in a dynamic, real-world environment while continuing to grow your expertise in operations research and analytics.

Roles and Responsibilities:

• Develop and implement mathematical models for optimization, scheduling, resource allocation, logistics and supply chain management
• Design and execute simulation studies to evaluate system performance under uncertainty
• Collaborate with cross-functional teams to translate business problems into analytical frameworks
• Prototype and validate algorithms using Python, MATLAB, or similar platforms
• Communicate technical findings through presentations, reports, and publications
• Contribute to proposal development and support external funding initiatives
• Stay current with advancements in operations research and related fields

Required Qualifications:

• PhD in Operations Research, Industrial Engineering, Applied Mathematics, or related field
• Strong foundation in linear, nonlinear, and integer optimization
• Proficiency in programming languages such as Python, C++, or MATLAB
• Experience with optimization solvers (e.g., Gurobi, CPLEX, or SCIP)
• Demonstrated ability to conduct independent research and publish in peer-reviewed venues
• U.S. citizenship or permanent residency (required for certain projects)

Desired Characteristics:

• Familiarity with machine learning techniques and integration with optimization
• Experience with stochastic modeling, queuing theory, or game theory
• Strong communication and interpersonal skills for working in multidisciplinary teams
• Intellectual curiosity and a passion for solving real-world problems
• Ability to manage multiple projects and adapt to evolving priorities
• Prior internship or collaboration with industry or government research labs