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

Job Description

Job Description:

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

Skills and Requirements

• 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.