Required Skills & Experience
- 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
Nice to Have Skills & Experience
- 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
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