About The Position

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. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Requirements

  • 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 is REQUIRED for this role due to Federal Contract Provisions
  • You must be 18 years of age or older
  • Must be willing to work out of an office located in Niskayuna, NY

Nice To Haves

  • 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

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

Benefits

  • Health care coverage (medical, dental, vision, pharmacy)
  • Retirement plan that includes Company Retirement Savings and a 401K with Company matching
  • Life Insurance options
  • Disability coverage
  • Paid time-off
  • Employee Assistance Program (EAP)
  • Performance bonus eligibility
  • Relocation Assistance Provided
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