Lecturer in Applied Mathematics (Computational)

University of Melbourne



The School of Mathematics and Statistics is seeking to expand its expertise in computational and applied mathematics. The successful applicant is expected to undertake high-level research in computational mathematics, leading to a vigorous research program in the development of numerical methods, their analysis and their application.

They should also have a strong commitment to teaching and the supervision of research students.  Teaching will occur within the School of Mathematics and Statistics undergraduate and MSc programs and the applicant will be expected to teach mathematics and its applications to a variety of audiences.  They are also required to supervise research students at undergraduate, MSc and PhD levels in computational and applied mathematics.

The School maintains activity in all areas of the mathematical sciences. It has research foci in many areas of algebra, analysis, geometry, topology, number theory, continuum modelling, mathematical biology, mathematical physics, discrete mathematics, operations research mathematical and applied statistics, statistical genomics, stochastic modelling and probability theory.

The University of Melbourne provides a wide range of opportunities for exciting research collaborations within the School, wider University and externally.  There will be the opportunity to undertake external consulting.  The successful applicant will be expected to undertake administrative tasks for the School.

The appointee will have a PhD or equivalent research higher degree in computational mathematics, numerical analysis, scientific computing or a related discipline.  You will have demonstrated research excellence including a strong record of publication in computational mathematics and numerical analysis and the ability to develop research links nationally and/or internationally.

This is a full-time, continuing position.

Applications to be submitted by 25th October 2019. Late applications will be accepted until 8th November 2019 but may not be fully considered.

The University will only be accepting applications submitted via the MathJobs website https://www.mathjobs.org/jobs


Position Description

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