AI Research Engineer: Multi-physics Modeling and Scientific Machine Learning

Insight Global is seeking a Research Engineer - Multi-physics Modeling and Scientific Machine Learning for a leading energy technology and research organization. This candidate will join an advanced research team focused on developing next-generation modeling and simulation capabilities for critical energy technologies. The ideal candidate will leverage expertise in computational physics, machine learning, high-performance computing, and scientific software development to solve complex engineering challenges across electrification, wind energy, gas turbines, and nuclear applications. This is a highly technical research-focused position offering the opportunity to work on cutting-edge scientific machine learning, digital engineering, and multi-physics simulation technologies that will shape the future of sustainable energy systems. Day-to-Day: * Develop advanced multi-physics modeling methodologies and scientific machine learning solutions * Execute research tasks at the intersection of physics, computing, and AI/ML * Perform high-fidelity CFD, thermal, and multi-physics simulations * Build and deploy machine learning models for complex engineering systems * Utilize proprietary, open-source, and commercial simulation software * Support next-generation technologies across: o Electrification systems o Wind turbines o Industrial gas turbines o Nuclear reactors * Conduct validation and verification of new modeling technologies * Collaborate with multidisciplinary engineering and research teams * Document technical findings and present results to leadership and stakeholders * Contribute to future design optimization and digital engineering initiatives

• PhD in Mechanical Engineering, Aerospace Engineering, or related discipline
• R&D experience with advanced computational methods for multiscale physics applications: o Fluid mechanics o Aerodynamics o Reacting flows o Multi-physics modeling
• Research experience with state-of-the-art machine learning algorithms for scientific applications
• Strong Python programming expertise
• Experience with machine learning frameworks such as PyTorch
• Experience deploying ML solutions on High-Performance Computing (HPC) clusters
• Experience executing high-fidelity simulations and computational analyses
• Strong communication and stakeholder-facing skills
• Ability to work effectively in multidisciplinary teams
• Legal authorization to work in the U.S.
• Must be willing to work onsite in Niskayuna, NY
• 2+ years postdoctoral research experience OR 3+ years of industry/laboratory research experience
• Expertise in Scientific Machine Learning (SciML)
• Experience with JAX
• Advanced programming in C++ and FORTRAN
• Experience with ANSYS, COMSOL, or similar CFD/thermal analysis tools
• Strong experience in high-fidelity multiphysics modeling
• Expertise in HPC environments and large-scale scientific computing
• Experience developing research proposals for DOE, DOD, or other government agencies
• Track record of innovation, publications, patents, or cutting-edge research contributions
• Strong analytical, interpersonal, and leadership skills