Professor/Associate Professor in Applied Mathematics (Mathematical Biology or Computational Mathematics), Monash University
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The School of Mathematical Sciences at Monash University invites applications for the position of Professor/Associate Professor in Applied Mathematics (Mathematical Biology or Computational Mathematics).
The two areas of specific interest for this position are Mathematical Biology and Computational Mathematics. We anticipate growth over the next few years in these two areas, and successful candidates in these areas will be expected to take a leadership role in this. All areas of Mathematical Biology and Medicine will be considered, including research that involves collaborations with biologists or medical researchers. In Computational Mathematics, areas of specific interest include numerical PDEs, numerical linear algebra, uncertainty quantification, high-performance computing, computational fluid dynamics, optimisation, optimal control, and operations research. The School’s current areas of strength in Applied and Computational Mathematics include fluid mechanics, magnetohydrodynamics, numerical analysis, scientific computing methods, and operations research. Applications that align with any of these focus areas are also of interest.
Candidates will be expected to have outstanding research records and help our drive for excellence across the School. We are interested in excellent researchers who apply mathematics to problems in science, engineering, biology and technology. To be considered you will have a PhD in mathematics or a related area, an exceptional track record in high-quality research, and a strong commitment to teaching and the supervision of research students. Successful candidates will be expected to take a leadership role within the department.
This role is a full-time position; however flexible working arrangements may be negotiated.
Confidential enquiries regarding the position may be made to Professor Philip Hall, Head, School of Mathematical Sciences.
Applications must be made via the Monash website and must address the selection criteria outlined in the position description.