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Working knowledge of Python and physical modeling and simulation tool (e.g., MATLAB) Work with cross-functional teams to play a critical role in complex system understanding, modeling, and definition of the system constraints.
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Experience with CAD software for 3D modeling and simulation (e.g., SolidWorks, AutoCAD). Supported by leading investors such as Breakthrough Energy Ventures, ArcelorMittal, TPG Rise, MIT’s The Engine, and others, we share a common belief that low-cost, multi-day energy storage is the key to enable tomorrow’s zero carbon electric grid.
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Experience leveraging analytical models, finite element analysis (COMSOL experience preferred), and other simulation tools for device modeling, sensor network development, and instrumentation automation.
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We enable the digitalization of manufacturing and enhance the requisite human workforce through integration of advanced cyberinformation technologies, including, but not limited to, AR/VR, AI, cloud computing, cybersecurity, data analytics, IIoT, machine learning, simulation and virtual modeling.
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Hardware modeling languages, such as Verilog or System Verilog, logic simulation tools, python and any functional programming languages like scala, Haskell etc. Solid understanding of SOC design and verification methodologies, including FPGA prototyping, emulation, and simulation.
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Ability to optimize all phases of work including requirements management, modeling and simulation, risk analysis and formal trade study tools. Participates in Modeling and Simulation.
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However, we are especially interested in the technical areas of nuclear materials, modeling & simulation, reliability & uncertainty analysis, and instrumentation & controls. The Department maintains cutting-edge experimental and computational facilities in its six core research competencies: materials for extreme environments; advanced manufacturing and design; soft matter biomechanics; computational and data-enabled engineering; nuclear and other sustainable energies; and quantitative and in situ materials characterization.
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Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Our offerings include MicroStation-based applications for modeling and simulation, ProjectWise for project delivery, AssetWise for asset and network performance, and the iTwin platform for infrastructure digital twins.
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Lead the design, modeling, and simulation of mechanical components and systems within SOFCs, including stacks, fuel reformers, and heat exchangers. Solid understanding of thermodynamics, fluid mechanics, and heat transfer principles.
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The successful candidate will be capable of leveraging analytical models, finite element modeling, and other simulation tools for device modeling, sensor network development, and instrumentation automation.
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Ideally have modeling or simulation experience - finite element analysis (FEA), computational fluid dynamics (CFD), neutronics analysis (MCNP, Serpent), etc. Perform modeling and analysis of advanced reactor designs using a variety of engineering tools and methods.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with commercial modeling and simulation tools in one or more of the above areas (e.g. PSS/E, GE PSLF, PLEXOS, GE MAPS, PROMOD, CYME/Synergi, OpenDSS/GridLabD, etc.) Specific skillsets of interest and analytical needs include: Wildfire modeling, Hydrologic modeling, Geospatial analysis, Cost/Benefit Analysis, Bulk Power System Analysis (e.g., Capacity Expansion, Production Cost, and/or Resource Adequacy Modeling), Distribution System Planning/Modeling, Transmission Planning/Modeling, Data Science and Visualization.
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Form Energy is a U.S. technology and manufacturing company that is developing and commercializing pioneering energy storage technologies to enable the electric grid to run on 100% renewable energy, every day of the year.
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Four years work experience in: legacy and emerging technologies, application architecture, database technologies, system design and implementation; issue/study definition, project and methodology design, statistical modeling and simulation and data interpretation; one or more business processes; and industry awareness.
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modeling and simulation jobs in Pittsburgh, PA
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