Lead Engineer - Operations Research for Controls & Optimization

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.

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.
Hiring Requirements
Job Details
Job Profile
Job Profile
Lead Engineer 1 - Computer Engineering and Science
Job Families for Job Profiles
Job Families for Job Profiles
Disciplinary Engineering and Science; LPB
Worker Sub-Type
Worker Sub-Type
Regular
Worker Type
Worker Type
Employee
Time Type
Time Type
Full time
Compensation Grade
Compensation Grade
LPB1
Primary Location
Primary Location
Niskayuna VERNOVA NY US 2
Primary Job Posting Location
Primary Job Posting Location
Niskayuna
Additional Locations
Additional Locations
(empty)
Additional Job Posting Locations
Additional Job Posting Locations
(empty)
Scheduled Weekly Hours
Scheduled Weekly Hours
40
Work Shift
Work Shift
(empty)
Recruiting Start Date
Recruiting Start Date
08/26/2025
Target Hire Date
Target Hire Date
09/03/2025
Target End Date
Target End Date
(empty)
Additional Information
Union Membership from Job Profile
Union Membership from Job Profile
(empty)
Allowed Unions from Job Profile
Allowed Unions from Job Profile
(empty)
Collective Agreement Details
Collective Agreement
Collective Agreement
(empty)

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

• 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
• You must submit your application for employment on the careers page at www.careers.gevernova.com to be considered.

• 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