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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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current, relevant industry experience. Proficient communication and computer skills are a must. The ideal candidate will possess some or all of the following skill sets: Basic Finite Element Analysis
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral
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standards. Working knowledge of structural finite element modeling programs (STADD, GT STRUDL, etc.) Familiar with the following DOE order and standards: DOE O 420.1C – Facility Safety DOE-STD-1020 – Natural
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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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, engineering, materials science, maths, or computer science), or equivalent experience Experience with uncertainty quantification or error analysis Familiarity with numerical methods (e.g., Monte Carlo, Finite
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) experience and demonstrated proficiency (SolidWorks preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys or equivalent). Gas dynamical modeling expertise (e.g., using
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. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software