Postgraduate areas of research - Faculty of Science

Mathematical sciences

Coordinator: Professor John Lattanzio (Clayton)

Candidates in mathematical science may enrol for programs leading to the MSc, MPhil and PhD degrees. The programs reflect the research interests of staff, which at present include: astrophysics, solar and planetary physics, geophysical fluid dynamics, computational fluid dynamics, computational solid mechanics, numerical analysis, dynamical meteorology, climate dynamics, radiation and remote sensing, physical oceanography, nonlinear dynamics, curve motion, general relativity, geophysics, dynamics of solid planets, biomathematics, optimisation, control theory, computer algebra, history of mathematics, algebra, group theory, semigroup theory, functional analysis, number theory, differential geometry, nonlinear partial differential equations, geometric analysis, applied probability, branching processes, financial mathematics, statistical inference, stochastic processes, medical statistics, modelling and statistics in sport, industrial statistics and statistical computing. There are regular specialist and general seminars. More detailed information can be obtained from the Postgraduate Co-ordinator in the School of Mathematical Sciences.

Applied mathematics

Research supervision is available in the applied mathematics fields listed above. If there is sufficient demand, advanced lecture topics may be offered in these areas.

Atmospheric science

Atmospheric science is a modern interdisciplinary subject, drawing heavily on applied mathematics, fluid dynamics, physics, chemistry and computer science, and our research and graduate training programs are an exciting blend of field experiments, theoretical analysis, numerical modelling and data analysis. Research supervision is available in the atmospheric science fields listed in the above paragraph.

Mathematical statistics

Candidates may undertake either an MSc, MPhil or a PhD degree involving a written thesis in some area of probability theory, stochastic processes and applications, statistical theory, or applied statistics. Further details may be obtained from the director of postgraduate studies.

Pure mathematics

Research supervision is available in the pure mathematics fields listed in the opening paragraph above.

Centres

Monash Key Centre for Statistical Science

The Key Centre for Statistical Science is a cooperative venture established in 1984 between Monash University, The University of Melbourne, La Trobe University, and RMIT University. Further information may be obtained from Dr Aidan Sudbury.

Centre for Astrophysics

This centre brings together Monash University researchers working on the astrophysical properties of stars and planets, in the broadest context. Members of the centre are drawn from the School of Mathematical Sciences as well as the School of Physics. Research supervision is available for theoretical and observational studies from star and planet formation through to the properties of black holes.

Centre for Modelling of Stochastic Systems

The main objectives of the centre are to develop the modelling part of the theory of stochastic systems, which is an integral step towards applications to practical problems in industry; to promote cooperation in research and graduate supervision in these areas and other more established areas across different groups in the School and across the Faculties of Science and Business and Economics, and to develop an Actuarial program at Monash University.