Ph.D.Mathematics in Civil Engineering

Czech Technical University in Prague - Faculty of Civil Engineering

The doctoral study program Mathematics in Civil Engineering is designed for those who wish to improve their skills in applied mathematics and selected branches of engineering science as well as to master various advanced tools for modeling phenomena arising in or applicable to the field of civil engineering. The PhD program offers a variety of mathematics, programming, and modeling oriented courses that include functional analysis, function spaces, metric spaces, fractal sets, variational methods, evolution partial differential equations, elliptic partial differential equations, Navier-Stokes equations and models of flow, multiphase flow, ordinary differential equations, dynamical systems, mathematical statistics and probability, geostatistics, robust statistics, optimization, numerical linear algebra, numerical methods, methods for scientific computing, finite element method, stochastic methods for uncertainty quantification, non-stochastic methods for uncertainty quantification, computer algebra, numerical software, object-oriented programming, tensor mechanics, deformation and failure of materials, analytical and numerical methods in micromechanics of heterogeneous materials, and critical zone hydrology.
The majority of courses are delivered by the Department of Mathematics, but some are lectured by experts from specialized engineering departments.

Graduate profile

PhD graduates of the doctoral study program Mathematics in Civil Engineering become highly skilled researches combining a deep knowledge of their specialized civil engineering discipline with all the necessary modern mathematical, modeling, and computational tools for solving civil engineering-related problems arising in research and practice. This knowledge enables them to identify and formulate new scientific problems and to develop adequate methods for their analysis and solution. They are able to use the most modern elements of mathematical modelling and computer simulations and able to respond in a creative and innovative way to new trends in research. As such, the graduates are prepared to undertake research-focused positions in industry and academia.