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Australia: Postdoc Positions, Numerical PDEs


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The School of Mathematics at Monash University (Melbourne, Australia) invites applicants for three full-time postdoctoral positions in Scientific Computing and Numerical Analysis.

Position 1 (surface-bulk PDEs; 3 years, $75,115 - $127,432 + 17% employer superannuation): The role includes the design of advanced numerical discretisations of multiphysics PDEs on dynamic surfaces and surface-bulk coupling under the guidance of Prof Santiago Badia. In addition, the project involves the design and numerical analysis of variational space-time discretisations and unfitted and hybridisable schemes on cut meshes. Possible extensions include nonlinear approximation techniques, e.g., interpolated neural networks, advanced geometric multigrid and domain decomposition preconditioners, inverse problems and data assimilation.

https://careers.pageuppeople.com/513/cw/en/job/647109/research-fellow-in-scientific-computing-and-numerical-analysis-surfacebulk-pdes

Position 2 (electromechanics; 2 years, $75,115 - $101,944 + 17% employer superannuation): The role includes the development of advanced numerical discretisations for multiphysics PDEs under the guidance of Prof Santiago Badia and A/Prof Ricardo Ruiz-Baier, emphasising the mathematical and computational aspects of problems with dynamic interfaces. The objective is to model the electromechanics of the heart and torso, and to employ the combination of these numerical techniques and models to deliver predictive toolsfor patient-specific simulations of the cardiac function.

https://careers.pageuppeople.com/513/cw/en/job/647129/research-fellow-in-scientific-computing-and-numerical-analysis-electromechanics

Position 3: (polytopal methods; 2 years, $75,115 - $101,944 + 17% employer superannuation): The role includes the design and analysis of hybrid high-order schemes for partial differential equations with interfaces under the guidance of Profs Jerome Droniou and Santiago Badia. The methods will rely on polytopal meshes obtained from adaptive tree-based unfitted meshes. The research also includes optimal and scalable parallel multilevel solvers for the discrete systems arising from hybrid approximations.

https://careers.pageuppeople.com/513/cw/en/job/647147/research-fellow-scientific-computing-and-numerical-analysis-polytopal-methods

Applicants must have a PhD in Mathematics, Physics, Engineering or a related field. In addition, applicants must have a solid theoretical background in the numerical approximation of PDEs using finite element methods and expertise in efficiently implementing these algorithms. The position is open to candidates of any nationality, and the selection is based on academic excellence.  More information about the position, salary details, and the application procedure can be found in the links above. We encourage interested candidates to apply for all three jobs. Informal enquiries regarding the position can be addressed to Santiago Badia (santiago.badia@monash.edu).

The closing date for applications is 05 March 2023.

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