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to Fisher-Rao geometry and develop theoretical results characterising MML estimation under various regularity conditions. Aim 2: Development of Computational Methods for MML Design and implement efficient
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Research Fellows who have: a Ph.D. in mathematics with a research background in an area of computational pure mathematics (such as algebra, arithmetic geometry, number theory, group theory, representation
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research background in an area of computational pure mathematics (such as algebra, arithmetic geometry, number theory, group theory, representation theory, commutative algebra, or algebraic geometry
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind