GE Vernova Advanced Wind Resource and Energy Characterization Intern Summer 2026 at GE Vernova

Job Description SummaryCome and join our powerful unified force with the energy to change the world. Our mission is BIG.Our TRANSFORMATION is key bringing the right businesses together to LEAD the ENERGY TRANSITION. Our TEAM is ready.Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. Building on over 130 years of experience tackling the worlds challenges GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health safety security and improved quality of life.Job DescriptionJob Description:We invite a graduate-level intern to strengthen integration between our worlds fastest meso-coupled GPU-based large-eddy simulation (LES) and AI/machine-learning calibration algorithms for wind resource and wake prediction. Youll work with a mature LES platform (including actuator-disk and/or engineering wake models) and fuse simulation outputs with met-mast and turbine data from our fleet. The objective is time-correlated predictions that sharpen annual energy production (AEP) and loads estimates improve wind turbine suitability decisions and create clearer view of risk and value.Project Outcomes: Scope is intentionally flexible. Potential tracks include:1. Designing and running focused LES studies across key terrain/stability regimes2. Validating predictions against multi-height mast and SCADA data with clear performance metrics3. Quantifying bias and uncertainty to support decision thresholds4. Training fast surrogate models for layout and risk screening5. Prototyping practical methods to better align simulations with observed conditions.Primary Skills Developed:Skills youll develop: Practical data-analysis workflows; CFD/LES and atmospheric boundary-layer fundamentals Python data science at scale (Xarray/Dask/Pandas) Modern machine-learning methods for regression and time-series prediction Statistical evaluation and uncertainty quantification Reproducible version-controlled workflows Clear technical communication.Business value: reducing uncertainty in turbine suitability AEP and loads improves siting curtailment strategy and financial models. High-impact outputs will be piloted on live projects and if effective integrated into our internal assessment toolkit.Internship Term Dates:May/June - August 2026Qualifications:Currently pursuing a Masters or Doctorate in Engineering Mathematics or Applied ScienceMinimum GPA 4.0 / 5.0 scale.Desired Qualifications:Experience running Large Eddy Simulation (LES) modelsProficiency in scientific Python libraries such as NumPy Pandas Xarray.Experience with data mining data engineering or machine learning techniquesFamiliarity with high performance cloud computing environmentsExperience in atmospheric flows and wind-farm atmosphere interactionsFamiliarity with remote sensing applied to atmospheric measurements (Lidar Sodar Radar)Experience using Aero-elastic simulation tools such as FAST Flex or BladedBenefits Available to you: Addressing the climate crisis is an urgent global priority and at GE Vernova we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize order to meet this mission we provide varied competitive benefits to help support our workforce: Our Culture GE Vernova ()The pay for this position ranges from $34/hr-$36/hr based on years of undergraduate/graduate field of study completedThis position is also eligible for:Relocation Assistance:Co-op/Interns will be reimbursed for reasonable proper and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.Housing Allowance:Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Interns permanent residence is at least 50 miles away from the work location.Employee Assistance Program providing 24/7 confidential assessment counseling and referral servicesGE Retirement Savings Plan (RSP) after their accumulated service reaches 90 days and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)General Electric CompanyRopcor Inc. their successors and in some cases their affiliates each sponsor certain employee benefit plans or programs (i.e. is a Sponsor). Each Sponsor reserves the right to terminate amend suspend replace or modify its benefit plans and programs at any time and for any reason in its sole discretion. No individual has a vested right to any benefit under a Sponsors welfare benefit plan or program. This document does not create a contract of employment with any individual.Inclusion At GE Vernova we believe in the value of your unique identity background and experiences. We are committed to fostering aninclusiveculture where everyone feels empowered to do their best work because they feel accepted respected and that they belong. Click here to learn more: InformationGE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: NoRequired Experience:Intern Key Skills Microsoft Office,Public Relations,Google Docs,Data Collection,MailChimp,Microsoft Word,Dermal Fillers,Microsoft Powerpoint,Research Experience,Microsoft Excel,Adobe Photoshop,Writing Skills Employment Type : Full-Time Experience: years Vacancy: 1