Job 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 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 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 2026
Qualifications:
Desired Qualifications:
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 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 completed
This position is also eligible for:
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: Information GE 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: No
Required Experience:
Intern
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.