GE Vernova Advanced Wind Resource and Energy Characterization Intern

Job Description Summary

Come 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 world’s 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 Description

Job Description:

We invite a graduate-level intern to strengthen integration between our world's fastest meso-coupled GPU-based large-eddy simulation (LES) and AI/machine-learning calibration algorithms for wind resource and wake prediction. You’ll 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 regimes

2.          Validating predictions against multi-height mast and SCADA data with clear performance metrics

3.          Quantifying bias and uncertainty to support decision thresholds

4.          Training fast surrogate models for layout and risk screening

5.          Prototyping practical methods to better align simulations with observed conditions.

Primary Skills Developed:

Skills you’ll 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 2026

Qualifications:

• Currently pursuing a Masters or Doctorate in Engineering, Mathematics, or Applied Science
• Minimum GPA 4.0 / 5.0 scale.

Desired Qualifications:

• Experience running Large Eddy Simulation (LES) models
• Proficiency in scientific Python libraries such as NumPy, Pandas, Xarray.
• Experience with data mining, data engineering, or machine learning techniques
• Familiarity with high performance cloud computing environments
• Experience in atmospheric flows and wind-farm atmosphere interactions
• Familiarity with remote sensing applied to atmospheric measurements (Lidar, Sodar, Radar)
• Experience using Aero-elastic simulation tools such as FAST, Flex, or Bladed

Benefits 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 it. In order to meet this mission, we provide varied, competitive benefits to help support our workforce: Our Culture | GE Vernova (gecareers.com)

The pay for this position ranges from $34/hr-$36/hr based on years of undergraduate/graduate field of study completed

This 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/Intern’s permanent residence is at least 50 miles away from the work location.
• Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
• GE 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 Company, Ropcor, 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 Sponsor’s 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 an inclusive culture, where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.  Click here to learn more: https://jobs.gecareers.com/vernova/global/en/i-d-e

Additional Information