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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 theory
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strong research promise in at least one of the following research domains: ◦ geometric analysis; ◦ spectral theory; ◦ partial differential equations. Previous experience in the area of the project is an
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with strong potential to complement and strengthen current departmental expertise in areas such as Differential Equations, Computational Mathematics, Convex Geometry, Statistics, and Mathematics
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Matrix Theory, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics
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solvers of high-dimensional partial differential equations, members of CHaRMNET aim to overcome this challenge. This is a one-year, benefits-eligible position that is potentially renewable on an annual
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, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis
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interacting primarily through the strong force, such as its equation of state, phase diagram, and transport properties (viscosity, electrical conductivity, etc.) is an active research area today. Collisions
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or other engineering) with background and demonstrable expertise in numerical modelling Experience of applying numerical methods to solve sets of differential equations in a coding language such as: Python
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, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis
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Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international