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Adjunct Assistant Professor Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (25005247) We are seeking an Adjunct Assistant Professor to co-teach Finite Element Modeling
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relate to our team’s ongoing cutting-edge research directions, including Finite element modeling Positron emission tomography/magnetic resonance (PET/MRI) imaging Magnetic resonance (MR) diffusion imaging
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a travel allowance and access
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-mechanical design effort from concept definition to component delivery is expected. Advanced knowledge and experience using mechanical CAD (SolidWorks), as well as finite element analysis (FEA). Experience
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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models, technical drawings, schematics, and computer-generated reports. • Proficient in 3D CAD modeling software. • Working knowledge of finite element analysis (FEA) software and data analysis. • Proven
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. Finite Element Analysis (FEA): Ability to simulate and analyze the behavior of mechanical components and structures under various loads and conditions. AI/ML in Mechanical Systems: Capability to integrate
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experimental results for both a digitally thermally activated polymeric metamaterial and a multiphase 3d printed metamaterial. Knowledge of viscoelasticity, fundamental solid mechanics, finite element analysis
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element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload management (e.g., Slurm) and cloud