Research Focus
Numerical analysis of differential equations, limited metratures and limited volume methods, scientific basis of calculation, application in polyphysical field coupling mechanisms, error estimates and self-adaptability.
Programme Structure and Funding
The project is a full-time Ph.D. project and is taught in 3-4 years (36-48 months).
-
Place of study: Melbourne, Australia
-
Timing of application: Full year available
-
Tuition fees: 57700/ year, equivalent to RMB 260,000–270,000/ year
-
Language of instruction: English
The National Board of Management of the China Fund for Study Abroad (CSC) offers scholarships to Chinese students who wish to go abroad to pursue their doctoral degree. Monash University is a cooperative institute of the CSC. Students can apply for CSC scholarships on their own website.3Month1Day0Period4Month1Day14Time.
Entry Requirements
Academic background: undergraduate studies (at least four years)2:1master’s degree in degrees and above or related professions2:1Degrees and above Performance requirement: GPA not less than 3.3 Language requirements:
- IELTS 6.5, not less than 6 (achievement within two years)
- or TOEFL 79 to read 13, hearing 12, speaking 18, writing 21 (within two years) Done. Performance)
- Language exempted from obtaining a degree in English-speaking countries Recommendation letter: Provide detailed information on at least two nominees
Application Period
Full year available
Tuition and Living Costs
Study and living costs
- Housing: Students can apply for an in-school dormitory or out-of-school rental, from 1600 to 3000 RMB/week (depending on type) and from 3700 to 7000 RMB/month
Career Prospects
Doctoral students in mathematics at Monash University will have the capacity and advanced analytical skills to solve complex problems and have a wide range of jobs. • Academia: this is the most direct direction. Postdoctoral research can be done in universities or research institutions, with the ultimate goal of becoming a lecturer or professor, continuing to promote theoretical boundaries in the fields of pure mathematics, applied mathematics, etc. • Industry and finance: this is an area that includes a large number of mathematics doctors. Data science, machine learning algorithm development could be undertaken in technology companies; financial modelling and risk management could be performed as quantitative analysts in financial institutions; or practical problems could be solved by strong modelling capabilities in such industries as consulting, pharmaceuticals, logistics, etc. • Government departments and research institutions: both government departments and national laboratories also need mathematics specialists for research related to policy simulation, economic forecasting, cryptography or national security.
