AI Research Engineer: Multi-physics Modeling and Scientific Machine Learning
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Research Engineer
- Multi-physics Modeling And Scientific Machine LearningInsight 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 solutionsExecute research tasks at the intersection of physics, computing, and AI/MLPerform high-fidelity CFD, thermal, and multi-physics simulationsBuild and deploy machine learning models for complex engineering systemsUtilize proprietary, open-source, and commercial simulation softwareSupport next-generation technologies across:Electrification systemsWind turbinesIndustrial gas turbinesNuclear reactorsConduct validation and verification of new modeling technologiesCollaborate with multidisciplinary engineering and research teamsDocument technical findings and present results to leadership and stakeholdersContribute to future design optimization and digital engineering initiatives