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Engineering or a closely related discipline. Preferred Qualifications: Strong experience in one or more of the following: Numerical methods for ordinary and delay-differential equations. Scientific computing
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technical documentation in LaTeX. Specific Requirements Knowledge: Supercomputing architectures and their high-performance execution environments (High-performance computing). Numerical Methods: EDP solvers
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the predictions of this new configuration against existing theories (which model these structures in parallel) using synthetic case studies. These numerical tests will aim to clearly isolate the impact of
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theoretical and computational approaches are required that bridge these different regimes. The team involved in this work have developed a range of techniques to do this and the goal of this project is to join
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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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responsible for developing and analysing numerical models that describe progressive damage in laminated composites, with a clear emphasis on transferring detailed fracture mechanisms to models that can be used
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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modelling activity. Demonstrated expertise in finite-element methods or related numerical techniques. Experience in code development, HPC architectures, and parallel programming is highly desirable
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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computing, such as Python and C. Training in one or several of the following areas: computational physics, numerical methods, signal processing, statistical inference or scientific data analysis. Ability