• Be inspired, every day
• Drive your own learning at one of the world’s top 80 universities
• Take your career in exciting, rewarding directions

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

The School of Mathematical Sciences seeks a motivated researcher to work on problems in Computational Mathematics. This position will work on developing novel algorithms for the numerical approximation of partial differential equations (including discretization, techniques linear and nonlinear solvers, and uncertainty quantification), their advanced implementation in parallel environments, and their application to the large scale simulation of complex problems in engineering and science. Applicants with a PhD in Mathematics, Computer Science or a related field would be most desirable.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria.

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