Multi-physics Modeling and Scientific Machine Learning

LS3002 GE Vernova Operations LLC; Town of Niskayuna (NY); On-site; USD 89,000 - 149,000; Full time

Benefits offered by this job

Relocation assistance

Discretionary annual bonus

Medical, dental, vision benefits

Job summary

GE Vernova Advanced Research seeks a highly qualified PhD in a relevant field to lead cutting-edge computational research. You will develop and apply multi-physics models and machine learning surrogates to solve complex engineering challenges across power generation platforms, including electrification systems and turbines.

The role requires strong Python, ML (PyTorch, JAX), and high-performance computing expertise, with experience in Ansys/COMSOL and deployment on HPC clusters.

Qualifications

• PhD in fluid flow physics, CFD, thermo-sciences or closely related discipline.
• Proven ability to conduct independent, high-impact research.
• Experience with Python and ML libraries for scientific computing.

Responsibilities

• Independently execute tasks at the confluence of physics, computing and machine learning.
• Collaborate on multi-generation technology programs to enable design and modeling advancements.
• Formulate and develop advanced computational methodologies and verify them.

Skills

Python

PyTorch

JAX

C++

FORTRAN

High-Performance Computing

Multiphysics Modeling

Education

PhD in fluid dynamics/CFD/thermo-sciences

Tools

Ansys

COMSOL

HPC clusters

Job description

Job Description Summary

At GE Vernova Advanced Research, we invent and develop cross-cutting transformative technologies to enable a clean and sustainable new era of energy. As a Multi-Physics Modeling & Scientific Machine Learning Engineer within the Aerodynamics & Thermosciences team, you will contribute to the development and application of cutting-edge, high-fidelity, multi-physics modeling techniques and methods to solve complex engineering challenges across GE Vernova’s next-generation technology platforms, including and not limited to electrification systems, wind turbines, industrial gas turbines, and nuclear reactors. You will work in a collaborative, multi-disciplinary environment to revolutionize design and optimization methodologies using physics modeling insights, data-driven physics surrogates of spatio-temporal systems, scientific machine learning at scale and high-fidelity scientific computing on HPC for applications in power generation and electrification technology domains.

Job Description Responsibilities

• Independently execute tasks using your technical skills for projects at the confluence of physics, computing and machine learning.
• Work as part of a team executing on multi-generation technology programs to enable future design and modeling technology advancements.
• Formulate and develop advanced computational methodologies, implement them according to state-of-the-art software practices.
• Execute high fidelity simulations and perform high fidelity computational analyses.
• Use proprietary, opensource and commercial tools as required by the project.
• Participate in systematic validation & verification efforts to advance/demonstrate new technologies.
• Communicate results effectively with stakeholders and document technical findings.

Required Qualifications

• Doctorate (PhD) in fluid flow physics, computational fluid dynamics (CFD), thermo-sciences, or a closely related discipline.

Eligibility

• Legal authorization to work in the U.S. is required.
• We will not sponsor individuals at the Masters' level for employment visas, now or in the future, for this job opening.
• Must be willing to work out of an office located in Niskayuna, NY.

Desired Characteristics

• 2+ years of post-doctoral research experience and/or 3+ years of research experience in an industrial or laboratory setting.
• Research and development experience in advanced computational methods for multiscale physics applications including fluid mechanics, aerodynamics, reacting flows etc.
• Research and development experience in state-of-the-art machine learning algorithms for scientific applications.
• Experience in Python, machine learning libraries (such as PyTorch) and knowledge of deployment at scale on high performance compute clusters.
• Demonstrated proficiency in high-fidelity multiphysics modeling, cutting edge machine learning methods, and high-performance computing.
• Outstanding programming skills including expertise with Python, JAX, pyTorch, FORTRAN, C++.
• Knowledge of high-fidelity computational fluid mechanics and thermal analysis tools such as Ansys, COMSOL etc.
• Ability to lead and /or contribute to the development of research proposals to internal business units and external government agencies such as Department of Energy, Department of Defense etc.
• Passion for science and technology and clear evidence of innovation and creativity.
• Ability to work effectively in a multidisciplinary team.
• Strong interpersonal skills.
• Strong analytical skills.
• Ability to work under pressure and meet deadlines.
• Excellent written and verbal communication skills.

Compensation & Benefits

• Pay range for this position is between $89,300.00 and $148,700.00.
• Relocation Assistance Provided: Yes.
• Bonus eligibility: discretionary annual bonus.
• Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

This posting is expected to remain open for at least seven days after it was posted on September 03, 2026.

GE Vernova is an Equal 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).

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com