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development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired. Where
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: discrete mathematics, algorithms and data structures, probability theory, and linear algebra; Research experience in theoretical computer science documented by publications in reputable industry journals
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly motivated and creative; Have an
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mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods. *Please note that the successful candidate will be required to undergo an academic qualification check
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graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear
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CI/CD workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer
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: General Mathematics: This skill-based course introduces the mathematical skills required for further tertiary study developing knowledge of linear algebra, networks, vectors, matrices, measurement and
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workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer graphics
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and