Research Engineer - Multi-Physics ML for Energy

Insight Global; Town of Niskayuna (NY); On-site; USD 68,000 - 94,000; Full time

Job summary

Insight Global is seeking a Research Engineer, Multi-Physics Modeling and Scientific Machine Learning, to join a leading energy technology research organization in an onsite Niskayuna, NY office. You will bridge computational physics, AI, and high‑performance computing to develop modeling solutions for next‑gen energy systems.

Responsibilities include developing advanced multi‑physics modeling methods, executing high‑fidelity simulations, building AI‑enabled surrogate models, and validating

Qualifications

• PhD in Mechanical Engineering, Aerospace Engineering, or related field.
• Experience applying AI/ML to physics-based problems.
• Strong Python proficiency and HPC experience.
• Background in CFD, flow physics and multi-physics simulations.
• Experience with ANSYS or COMSOL and physics-informed ML.

Responsibilities

• Develop advanced multi-physics modeling methodologies.
• Execute high-fidelity simulations and computational analyses.
• Design and implement scientific machine learning solutions.
• Build AI-enabled surrogate models for complex spatiotemporal systems.
• Apply ML to fluid mechanics and flow physics challenges.
• Deploy and test algorithms on HPC clusters.
• Evaluate model accuracy and performance improvements.
• Collaborate with cross-functional teams and present findings.

Skills

Python

PyTorch

HPC

CFD

Fluid mechanics

AI/ML

Communication

Education

PhD in Mechanical Engineering or Aerospace

Tools

ANSYS/COMSOL

JAX

Fortran/C++

Job description

Insight Global is seeking a Research Engineer, Multi-Physics Modeling and Scientific Machine Learning, to join a leading energy technology research organization in an onsite Niskayuna, NY office. You will bridge computational physics, AI, and high‑performance computing to develop modeling solutions for next‑gen energy systems.

Responsibilities include developing advanced multi‑physics modeling methods, executing high‑fidelity simulations, building AI‑enabled surrogate models, and validating