Research Engineer - Operations Research: GE Vernova Advanced Research
GE Vernova · Niskayuna, NY, United States
About this role
Job Description Summary 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. Job Description 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 wit
Apply for this role on GE Vernova’s official careers site.