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for Associate Research Scientist positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be
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performance computing. Topics include modelling, floating point computations, molecular dynamics, fast Fourier transforms, solving partial differential equations, parallel programming concepts, and hybrid
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applied to regression, classification, and the solution of time-dependent partial differential equations (PDEs), such as large-scale tsunami simulations. The project involves two doctoral researchers with
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Applied Mathematics (Ref: FST250902) Job Description The successful candidate is expected to deliver lectures and tutorials in the areas such as real analysis, complex analysis, partial differential
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years in following disciplines: Pure mathematics: algebraic geometry, differential geometry, partial differential equations, number theory, probability, topology. Applied mathematics: computational
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partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic
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differential equations is a requirement. Research-level experience with development of simulation technology is a requirement. Research-level experience with either multiphase flow in porous media
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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Equations, Optimization, Stochastic Differential Equations, Stochastic Partial Differential Equations, Mathematical Physics, Fluid Dynamics, Mathematical Biology, Mathematical Epidemiology are encouraged
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of partial differential equations and applications. Other areas under active consideration are cosmology, multiscale and complex systems including interfaces with theoretical biology, computer science and