Full-time study

4 years

prof. RNDr. Jan Čermák, CSc.

Chairman :
prof. RNDr. Jan Čermák, CSc.
Councillor internal :
prof. RNDr. Josef Šlapal, CSc.
prof. Ing. Ivan Křupka, Ph.D.
prof. RNDr. Miloslav Druckmüller, CSc.
prof. RNDr. Miroslav Doupovec, CSc., dr. h. c.
Councillor external :
doc. RNDr. Ing. Miloš Kopa, Ph.D.
prof. RNDr. Jan Paseka, CSc.
prof. RNDr. Roman Šimon Hilscher, DSc.
doc. RNDr. Tomáš Dvořák, CSc.

The doctoral study programme in Applied Mathematics will significantly deepen students' knowledge acquired during the study of the follow-up master's study programme in Mathematical Engineering at FME BUT in Brno and other master's programmes focused on mathematics and its applications. Students of this doctoral programme can gain in-depth knowledge of the relevant mathematical apparatus in all areas of applied mathematics, in connection with the solution of demanding practical tasks (especially technical). The offer of professional subjects of the doctoral study programme in Applied Mathematics is also adapted to this, including subjects with a deeper theoretical basis, subjects related to the applications of mathematics, and finally also subjects with a special engineering focus.
The topics of doctoral theses are listed mainly by the staff of the Department of Mathematics, and depending on the nature of the topic, experts from other FME institutes or other scientific institutions may also be involved, as specialist trainers. During their doctoral studies, students become members of scientific teams led (or in which they work) by their supervisors. The assigned topic of the doctoral thesis is usually part of a more complex problem that this team solves in various professional projects. Students will gradually learn all the basic principles of scientific work, especially the creation of professional texts and their publication in scientific journals, and the presentation of the results of their scientific work at seminars or conferences. Cooperation with foreign workplaces is a matter of course, where students can gain other useful experiences. After successfully passing the prescribed state doctoral exam, which examines both the knowledge of the theoretical foundations needed to master the topic, but also the state of development of the dissertation and the direction of research conducted within it, students focus primarily on completing their work. In order to submit it for defence, they must meet the requirements related primarily to publishing activities, the purpose of which is to ensure that dissertations submitted for defence in this study programme are at a comparable level to defended works at other mathematical institutions in the Czech Republic and abroad. After defending the doctoral thesis, students obtain a Ph.D degree.
The main goal of this doctoral study programme is to educate experts in the field of applied mathematics who will be able to continue in the scientific career begun within their doctoral studies. The means to fulfil this goal is to expand students' knowledge of non-trivial mathematical tools needed for modelling and solving practice problems, as well as to deepen the principles of their mathematical, logical and critical thinking.

The graduate will gain deep expertise in a number of special areas of modern applied mathematics, focusing on selected parts of image analysis, computer graphics, applied topology, 3D image reconstruction and visualization, continuous and discrete dynamical systems, and advanced statistical methods. They will also have a high degree of geometric perception of problems related to engineering applications. They will also gain quality knowledge of engineering disciplines related to the topic of work, and will be able to work with modern programming tools (Python, C ++, ...). The language equipment enabling professional cooperation with foreign workplaces and the presentation of the obtained results at an international forum is a matter of course.

Within the scope of his/her professional competence, the graduate is able to create mathematical models of engineering problems and, according to their nature, to search for and develop suitable mathematical tools and procedures for their solution. They are able to use mathematical software at a high level and has acquired programming skills. In a broader sense, the graduate is able to participate in solving challenging tasks in the field of technical practice.

In terms of more general skills, the graduate is capable of independent creative scientific work. They will learn the principles of teamwork at a high professional level. The team will learn to manage in terms of professional and administrative, it will also be familiar with project issues. He can also work as a mathematician in multidisciplinary teams. He is able not only to participate in solving research problems, but he can find and formulate current scientific problems. He is able to present the results of his work, both in the form of scientific publications and in the form of professional lectures.

The graduate will have a developed ability of analytical thinking, which in combination with knowledge of advanced methods of applied mathematics and computer technology will allow him to seamlessly participate in scientific teams in various types of academic institutions or in the field of applications.

Graduates find a wide job in the labour market for their adaptability, which is made possible by extensive knowledge of applied mathematics. These graduates are interested in companies engaged in development in the field of autonomous systems, robotics, automation and image analysis, as well as institutions engaged in science, research and innovation in the fields of informatics, technology, quality management, finance and data processing. Graduates of this doctoral study programme also find significant employment in the academic sphere. In addition to the Institute of Mathematics, FME (among whose employees the share of graduates of the doctoral study program Applied Mathematics reaches almost a quarter), these graduates currently work as academic staff at other FME institutes, other BUT faculties and other universities. In addition to adaptability in various areas of applied mathematics, the continuing interest in these graduates is mainly due to their scientific erudition (in many cases these graduates are already habilitated, and in increasingly monitored indicators publishing activities are often at the top of relevant educational institutions).

See applicable regulations, DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)

The rules and conditions of study programmes are determined by:
BUT STUDY AND EXAMINATION RULES
BUT STUDY PROGRAMME STANDARDS,
STUDY AND EXAMINATION RULES of Brno University of Technology (USING "ECTS"),
DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)
DEAN´S GUIDELINE Rules of Procedure of Doctoral Board of FME Study Programmes
Students in doctoral programmes do not follow the credit system. The grades “Passed” and “Failed” are used to grade examinations, doctoral state examination is graded “Passed” or “Failed”.

Brno University of Technology acknowledges the need for equal access to higher education. There is no direct or indirect discrimination during the admission procedure or the study period. Students with specific educational needs (learning disabilities, physical and sensory handicap, chronic somatic diseases, autism spectrum disorders, impaired communication abilities, mental illness) can find help and counselling at Lifelong Learning Institute of Brno University of Technology. This issue is dealt with in detail in Rector's Guideline No. 11/2017 "Applicants and Students with Specific Needs at BUT". Furthermore, in Rector's Guideline No 71/2017 "Accommodation and Social Scholarship“ students can find information on a system of social scholarships.

The doctoral study programme in Applied Mathematics follows on from the follow-up master's study programme in Mathematical Engineering, which is accredited (and taught) at FME BUT in Brno.

1. Analysis of dynamical systems exhibiting a chaotic behavior

   Some dynamical systems exhibit a complex behavior known as deterministic chaos. The topic is focused on analysis of suitable chaotic models (with respect to a widest set of system's parameters). This analysis can be extended on models of non-integer (fractional) order as well.

   Tutor: Nechvátal Luděk, doc. Ing., Ph.D.

2. Applications of geometric algebras in engineering

   Geometric algebras (GA) have been successfully applied in many fields of theoretical and applied sciences. In the latter case, particularly image processing, computer vision, machine learning, robotics etc. are of our interest. Still new algebras are developed to match some specific area and thus apart from standard Conformal GA, we study GA for Conics or Projective GA for lines and planes manipulation. The structure of a GA must describe the problem effectively but also must provide a reduction of computational complexity and load. The applicant will be a part of an international research team and will describe a particular application of a specific algebra together with implementation and verification of the chosen approach.

   Tutor: Vašík Petr, doc. Mgr., Ph.D.

3. Asymptotics and oscillation of dynamic equations

   We shall study qualitative properties of various second order and higher order nonlinear differential equations, which arise from aplications (including, e.g., the equations with a (generalized) Laplacian). The research will be focused, for example, on obtaining asymptotic formulae for solutions or establishing new oscillation criteria. We shall deal not only with differential equations but also with their discrete (or time scale) analogues. This will enable us to compare and explain similaritities between the continuous case and some of its discretization, to get an extension to new time scales, or to obtain new results e.g. in the classical discrete case through a suitable transformation to other time scale.

   Tutor: Řehák Pavel, prof. Mgr., Ph.D.

4. Functional differential equations

   Functional differential equations are a generalisation of ordinary differential equations. One of their further specification leads to equations with delayed argument which has been a widely studied topic recently. The advantage lies in the description of real-world situations better than ordinary differential equations. Apart from delayed equations we will also handle advanced differential equations because this has not been considered seriously so far. We shall mainly focus on qualitative analysis of particular functional differential equations which are derived from real models. More precisely, we shall study oscillatory properties of solutions to the considered equations.

   Tutor: Opluštil Zdeněk, doc. Mgr., Ph.D.

5. Homogenous spaces and foliations from the point of view of the jet spaces and Weil functor theory and their physical applications

   The student will study homogenous spaces and foliations, particularly in connection with jet spaces and the Weil theory. Another aim is searching for physical applications, particularly inthe particle theories and mechanics.

   Tutor: Tomáš Jiří, doc. RNDr., Dr.

6. Lagrangians on Weil bundles, invariants and applications

   The topic is focused on problems of variational calculus on differentiable manifolds. The doctoral student will build on the classification results on Lagrangians and invariants on bundles of velocities and, more generally, on Weil bundles, and will further develop and interpret them with emphasis on applications, especially in mechanics.

   Tutor: Kureš Miroslav, doc. RNDr., Ph.D.

7. Modelling of population evacuation in risk zones

   With the development of industry and the construction of large units, the potential danger to the population from accidents increases. Linked to this is the need to develop plans to evacuate the population in disaster-stricken areas. In general, two cases can be distinguished where a sufficient number of means of transport must be available to evacuate all residents in the shortest possible time for evacuation; in a less critical case, the population can be gradually withdrawn with small amount of resources. The aim of this work is to model transport operations during evacuation and minimize its completion taking into account all restrictive conditions in relation to the area and the level of risk, such as population density, number and capacity of means of transport, distance of collection points etc.

   Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

8. Modern methods for solving nonlinear evolutionary differential equations

   Since intial boundary value problems for evolutionary mainly partial differential equations in technology often do not admit classical solution, various generalized formulations of these problems were proposed. The aim of the study will be comparison of these formulations and studying existence and uniqueness of their solutions. Then the theory will be applied to particular problems occuring in technology and alternatively to carry out numerical experiments.

   Tutor: Franců Jan, prof. RNDr., CSc.

9. Numerical processing methods of experimental data for imaging spectroscopic reflectometry within the framework of the optical characterization of thin solid films

   The content of the dissertation thesis is to find effective algorithms for numerical processing of big sets of experimental data obtained by means of imaging spectroscopic Reflectometer (built in The Coherence Optics Laboratory of IPE FME BUT) from non-uniform thin films for the determination of the optical parameters of these films. The goal is to realize aforementioned algorithms in the form of a software.

   Tutor: Ohlídal Miloslav, prof. RNDr., CSc.

10. Optimisation of Serviceability in Network Applications

    In applications that serve locations deployed in a large area for certain customer service, it is a typical task to minimise these locations so that each customer has at least one of the centers at the available distance. The problem of coverage for this task has O (2 ^ n) complexity, where n is the number of given places and it is necessary to solve it by heuristic methods for the "large" instances of the problem. However, the task has even more complex formulations considering service capacities and customer requirements. In the dissertation the aim is to apply a general problem solving in the problems of communication of 5G mobile networks and data storage in NoSQL databases.

    Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

11. Periodic solutions to non-linear second-order ordinary differential equations

    We shall study existence of periodic solutions to non-linear second-order ordinary differential equations. We will focus on differential equations appearing in mathematical modelling, in particular, ordinary differential equations in mechanics. Typical example of such equation is the so-called Duffing differential equation, which is derived, for instance, when aproximating a non-linearity in the equation of motion of certain forced oscillators.

    Tutor: Šremr Jiří, doc. Ing., Ph.D.

12. Qualitative properties of discrete dynamical systems

    Many technical problems are need to be modelled by a discrete dynamical system since the independent variable has to be considered as discrete one instead of a continuous one. These systems have many different properties with respect to its continuous counterparts. The analysis of qualitative properties is significant from considered model behaviour prediction point of view (or dealing with its control).

    Tutor: Tomášek Petr, doc. Ing., Ph.D.

13. Use of Bayesian approach and other suitable statistical methods for trajectory determination and target detection

    The topic will deal with finding the trajectory of a fast-moving target. To do this, information about the previous state and the probability of transition to the next state is used.

    Tutor: Žák Libor, doc. RNDr., Ph.D.

14. 3D object detection in point cloud

    The current development of augmented reality leads to the need for new detection algorithms. The standardized markers are used nowdays but it causes the limitation of the usage of this technology. The direct identification from image and point cloud will enable the unlimited type of objects. Doctoral thesis will deal with the development of these methods for high-quality methods to analyze objects in point clouds.

    Tutor: Procházková Jana, Mgr., Ph.D.