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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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): Courses in Finite Element Methods, Advanced Linear Algebra, Advanced Calculus, Non-Linear optimization, Analytical Mechanics, Hybrid Dynamical Systems, Differential Geometry Practical experience with legged
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and information theory, statistical analysis, optical communication systems. Knowledge of mathematical methods, linear algebra, mathematical physics, and numerical analysis are an asset. The candidate
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structures, etc to solve challenging problems is required (there will be a practical coding assessment during recruitment) A solid mathematical foundation is required (multivariable calculus, linear algebra
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efficiently work in a highly multidisciplinary team. You have a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have