Charles University Faculty of Mathematics and Physics
PhD in Mathematical and Computer Modelling
Prague, Czech Republic
PhD
DURATION
4 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
CZK 150,000 / per year **
STUDY FORMAT
On-Campus, Blended
* applicants from non-EU/EEA countries are advised to apply by April 30th
** online application fee: 720 CZK. Paper application fee: 770 CZK
Key Summary
It is an interdisciplinary study program that connects classical physics (particularly continuum mechanics and thermodynamics) with mathematical analysis and numerical mathematics. The student should go through the construction or understanding of the physical model, its mathematical analysis up to its numerical solution.
Due to the complexity of problems studied both in the research and in the praxis a closed collaboration among specialists from different areas is needed. Typically, physicists and engineers construct the models and mathematicians study the mathematical properties of the models and solve the models numerically. These specialists often use different languages to describe the same problem. The graduates of this program should be able to communicate with all of them and are therefore prepared to lead such groups. Moreover, they should also be prepared to solve simpler problems by themselves: from the construction of the model through its analysis up to its numerical solution.
The program does not contain specializations.
The holder of the diploma graduated from the doctoral study of a program which is combined between mathematics and classical physics and is directed to modeling in the physics of solids, liquids, and gases with possible applications in the material science, geophysics, biology, or medicine. Due to the content of the doctoral thesis the student dealt with the creation or properties of models in mechanics and thermodynamics of fluids and solids, the connected mathematical or numerical analysis of the corresponding systems of partial differential equations, or their numerical solution. The graduates of this program have good knowledge of mathematical and numerical analysis, classical physics, and applications of numerical methods, and are able to formulate, analyze and numerically solve real-world problems.