Coordinators: Dr Michael Reeder (Clayton) and Dr Alistair Carr (Gippsland)
Candidates in mathematical science may enrol for programs leading to the MSc degree (by coursework and thesis, or by thesis alone) and for the PhD degree. 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 director of postgraduate studies in the school of Mathematical Sciences. The School of Applied Sciences and Engineering at the Gippsland campus also offers research opportunities in mathematics and applied statistics and mathematics and science learning.
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.
Research supervision is available in the pure mathematics fields listed in the above paragraph.
Two broad choices are available for research work in statistics on the Clayton campus. The first possibility is either an MSc or a PhD degree involving a written thesis in some area of probability theory, stochastic processes and applications, statistical theory, or applied statistics. The second possibility is a coursework MSc in applied statistics. Details may be obtained from the director of postgraduate studies.
Mathematical and statistical modelling including environmental applications, discrete mathematics and computer science applications, and experimental design.
Applications of new technology to distance education, and interactive multi-media learning materials.
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. The centre offers courses leading to a MSc specialising in statistical science. More details of the centre's activities may be obtained from Dr Malcolm Clark.
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 Chemistry. Research supervision is available for theoretical and observational studies from star and planet formation through to the properties of black holes.
The MC2 laboratory is a joint initiative of the Faculty of Science and the Faculty of Information Technology. Research covers all areas of computational mathematics, physics, and high-performance computing, with particular emphasis on geological and planetary topics.
The Centre for Dynamical Meteorology and Oceanography provides opportunities for research and postgraduate study in meteorology, physical oceanography, and geophysical fluid dynamics. The program is based broadly on theoretical work, numerical simulation, and field observation.
The centre is also involved in a program of field observation carried out jointly with the Bureau of Meteorology and CSIRO Atmospheric Research. Information about research in this field and other activities of the group may be obtained from the director, Dr Steve Siems.
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