Applied Mathematics PhD Projects, Programmes & Scholarships

We have 380 Applied Mathematics PhD Projects, Programmes & Scholarships

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We have 380 Applied Mathematics PhD Projects, Programmes & Scholarships

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Coupling of fluid flow with multiple physics

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on simulation or experiments of complex fluid flow coupled with multiple physics, with potential topics depending on the expertise and interest of the candidate. Read more

Identification of key features in high-dimensional fluid flow

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on data science related with high-dimenional fluid flow, with potential topics depending on the expertise and interest of the candidate. Read more

Tropical Optimization

Tropical algebra is linear algebra developed over the max-plus semiring (extended real line endowed with tropical addition `a+b'max(a,b) and tropical multiplication `ab'a+b). Read more

Multidimensional localised patterns in fluids

Spatially localised behaviour occurs in a wide range of fluid problems from water waves to convection. In this project we would use a combination of analytical and numerical methods to investigate the emergence and properties (e.g. Read more

Design of Experiments: estimation of selected interactions in factorial experiments

Experiments with factorial treatment structure are used widely in industrial experiments and have applications in many other areas, including medical research and the horticultural and agricultural industries. Read more

Mathematical models for the characterisation of the dynamics of biological systems

Biological systems are constantly exposed to changing environments and adapt to them. That is, biological systems are capable of gathering information about their environments and processing them. Read more

Ensemble-based inference of multi-dimensional Hawkes process driven by count data

The vision of this research is to develop a novel sequential inference method for constructing a large-scale influence network from spatio-temporal count data, which could encompass an arbitrary number of events in a time interval, both as a batch and real-time data stream. Read more

Extreme Value Analysis of Certain Risk Models

Based on the extreme value analysis theory, this project will build some widely recognized risk models, discuss the relevant financial risk measurement indices, and analyze the calculation and properties of these indices. Read more

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