Lead Multi-Physics Modeling & Scientific ML Engineer

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

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.