After your internship you will work on a Master’s assignment in the field of Mathematical Systems Theory, Applied Analysis and Computational Science (SACS). The choice of your specific graduation subject will be largely up to you. For example, you may want to contribute to the formulation of theories involving mathematical models, or look for an algorithm or model that can help you to answer your research question. Should the required algorithm or model not be readily available, you may want to consider developing it yourself.

Examples of actual research questions include:

  • How to determine the optimum intervention moment when dealing with patients suffering from a certain syndrome?
  • What does it take for a car to run independently?
  • Can you mathematically model neurological processes in such a way that you can predict brain responses?
  • How to apply deep learning methods to improve cancer imaging?
  • How to make modelling or light more accurate using photonic crystals?
  • How to model and simulate the installation of gas or oil pipelines on the ocean's bottom?

Join a Research group

Research and education for this specialization are organized by four research groups. At the start of the Master’s programme, you will choose one in which you will work as a junior researcher. From this research group a mentor will be assigned to you to guide you through important decisions such as compiling the perfect set of courses and deciding on an internship. The research groups participating in this specialization are:

  • Hybrid Systems, which focuses on models to describe dynamical systems in interaction with their environment. Research areas are: control of physical systems, hybrid systems theory, control under constraints, and signal analysis. Applications in which the group is involved include control of flows and aircraft position estimation.
  • Applied Analysis, which focuses on the thorough integration of mathematical modelling, applied analysis and numerical methods. Research areas are: wave phenomena, turbulence, aerodynamics, neuroscience, plankton dynamics.
  • Mathematics of Computational Science, which focuses on multiscale problems in turbulence, in complex fluids and in biology. These have applications related to generation and storage of energy, monitoring and improving health and predicting human impact on the environment.
  • Multiscale Modeling and Simulation, which focuses on mathematics of heterogeneous computational models for scientific and technological problems incorporating dynamics at a wide spectrum of length and time scales that characterize a specific application.
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