Full-time study

4 years

prof. Ing. Zdeněk Smékal, CSc.

Chairman :
prof. Ing. Zdeněk Smékal, CSc.
Councillor internal :
prof. Ing. Radim Burget, Ph.D.
prof. Ing. Jiří Mišurec, CSc.
doc. Ing. Vladislav Škorpil, CSc.
doc. Ing. Jiří Hošek, Ph.D.
prof. Ing. Jaroslav Koton, Ph.D.
Councillor external :
doc. Ing. Otto Dostál, CSc.
prof. Ing. Boris Šimák, CSc.
prof. Ing. Ivan Baroňák, Ph.D.

The student is fostered to use the theoretical knowledge and experience gained through own research activities in an innovative manner. He is able to efficiently use the gathered knowledge for the design of own and prospective solutions within their further experimental development and applied research. The emphasis is put on gaining both theoretical and practical skill, ability of self-decisions, definition of research and development hypotheses to propose projects spanning from basic to applied research, ability to evaluation of the results and their dissemination as research papers and presentation in front of the research community.

The doctor study program "Teleinformatics" aims to generate top research and development specialists, who have deep knowledge of principles and techniques used in communication and data wired and wireless networks and also in related areas and also in data/signal acquisition, processing and the back representation of user data on the level of application layer. The main parts of the studies are represented by areas dealing with information theory and communication techniques. The graduate has deep knowledge in communication and information technologies, data transfer and their security. The graduate is skilled in operation systems, computer languages and database systems, their usage and also design of suitable software and user applications. The graduate is able to propose new technology solution of communication tools and information systems for advanced transfer of information.

Graduates of the program "Teleinformatics" apply in particular in research, development and design teams, in the field of professional activity in production or business organizations, in the academic sphere and in other institutions involved in science, research, development and innovation, in all areas of the company where communication systems and information transfer through data networks are being applied and used.
Our graduates are particularly experienced in the analysis, design, creation or management of complex systems aimed for data transfer and processing, as well as in the programming, integration, support, maintenance or sale of these systems.

Doctoral studies are carried out according to the individual study plan, which will prepare the doctoral student in cooperation with the doctoral student at the beginning of the study. The individual study plan specifies all the duties stipulated in accordance with the BUT Study and Examination Rules, which the doctoral student must fulfill to successfully finish his studies. These responsibilities are time-bound throughout the study period, they are scored and fixed at fixed deadlines. The student enrolls and performs tests of compulsory courses, at least two obligatory elective subjects with regard to the focus of his dissertation, and at least two elective courses (English for PhD students, Solutions for Innovative Entries, Scientific Publishing from A to Z).
The student may enroll for the state doctoral exam only after all the tests prescribed by his / her individual study plan have been completed. Before the state doctoral exam, the student prepares a dissertation thesis describing in detail the goals of the thesis, a thorough evaluation of the state of knowledge in the area of ​​the dissertation solved, or the characteristics of the methods it intends to apply in the solution. The defense of the controversy that is opposed is part of the state doctoral exam. In the next part of the exam the student must demonstrate deep theoretical and practical knowledge in the field of microelectronics, electrotechnology, materials physics, nanotechnology, electrical engineering, electronics, circuit theory. The State Doctoral Examination is in oral form and, in addition to the discussion on the dissertation thesis, it also consists of thematic areas related to compulsory and compulsory elective subjects.
To defend the dissertation, the student reports after the state doctoral examination and after fulfilling conditions for termination, such as participation in teaching, scientific and professional activity (creative activity) and at least a monthly study or work placement at a foreign institution or participation in an international creative project .

The doctoral studies of a student follow the Individual Study Plan (ISP), which is defined by the supervisor and the student at the beginning of the study period. The ISP is obligatory for the student, and specifies all duties being consistent with the Study and Examination Rules of BUT, which the student must successfully fulfill by the end of the study period. The duties are distributed throughout the whole study period, scored by credits/points and checked in defined dates. The current point evaluation of all activities of the student is summarized in the “Total point rating of doctoral student” document and is part of the ISP. At the beginning of the next study year the supervisor highlights eventual changes in ISP. By October, 15 of each study year the student submits the printed and signed ISP to Science Department of the faculty to check and archive.
Within the first four semesters the student passes the exams of compulsory, optional-specialized and/or optional-general courses to fulfill the score limit in Study area, and concurrently the student significantly deals with the study and analysis of the knowledge specific for the field defined by the dissertation thesis theme and also continuously deals with publishing these observations and own results. In the follow-up semesters the student focuses already more to the research and development that is linked to the dissertation thesis topic and to publishing the reached results and compilation of the dissertation thesis.
By the end of the second year of studies the student passes the Doctor State Exam, where the student proves the wide overview and deep knowledge in the field linked to the dissertation thesis topic. The student must apply for this exam by April, 30 in the second year of studies. Before the Doctor State Exam the student must successfully pass the exam from English language course.
In the third and fourth year of studies the student deals with the required research activities, publishes the reached results and compiles the dissertation thesis. As part of the study duties is also completing a study period at an abroad institution or participation on an international research project with results being published or presented in abroad or another form of direct participation of the student on an international cooperation activity, which must be proved by the date of submitting the dissertation thesis.
By the end of the winter term in the fourth year of study students submit the elaborated dissertation thesis to the supervisor, who scores this elaborate. The final dissertation thesis is expected to be submitted by the student by the end of the fourth year of studies.
In full-time study form, during the study period the student is obliged to pass a pedagogical practice, i.e. participate in the education process. The participation of the student in the pedagogical activities is part of his/her research preparations. By the pedagogical practice the student gains experience in passing the knowledge and improves the presentation skills. The pedagogical practice load (exercises, laboratories, project supervision etc.) of the student is specified by the head of the department based on the agreement with the student’s supervisor. The duty of pedagogical practice does not apply to students-payers and combined study program students. The involvement of the student in the education process within the pedagogical practice is confirmed by the supervisor in the Information System of the university.

1. round (applications submitted from 01.04.2022 to 15.05.2022)

1. Clinically interpretable machine learning in the field of predictive analysis of neurodegenerative and neurodevelopmental disorders

   As the population ages, there is an increasing demand for computerized analysis of data acquired from patients suffering from neurodegenerative or neurodevelopmental diseases in order to provide objective diagnosis, assessment, treatment, and prevention of these diseases. The aim of this dissertation thesis is to research and develop multimodal and clinically interpretable machine learning methods in the field of quantitative analysis of neurodegenerative and neurodevelopmental diseases using various motor as well as non-motor digital biomarkers. In collaboration with neurologists from St. Anne's University Hospital in Brno and Central European Institute of Technology at Masaryk University, the developed methods will be integrated into systems based on Health 4.0 technologies.

   Supervisor: Galáž Zoltán, Ing., Ph.D.

2. Electronically configurable analogue circuits

   This topic is focused on design of two-ports, filtering circuits especially and oscillators for instance, with possibility to externally and electronically change significant parameters of the circuit and in the case of filter also change of type of frequency response. Design with fractional-order element sis also expected. Available active elements are supposed to be used as it is or in modified variants. Simulations not only with simple models but also with transistor-level structures are expected. When verified by experimental measurement, behavioural modelling is preferred.

   Supervisor: Jeřábek Jan, doc. Ing., Ph.D.

3. Hardware Implementation of Modern Cryptography

   The topic focuses on the secure and efficient hardware implementations of modern cryptographic schemes at FPGA boards. The research also includes the design and optimization of security countermeasures against hardware-based attacks (side channels attacks, fault injections) and their practical testing. The participation on Department’s national and international research projects is expected.

   Supervisor: Malina Lukáš, doc. Ing., Ph.D.

4. Measurement of precipitation by microwave links

   The measurement of atmospheric precipitation by commercial point-to-point microwave links is a promising option for obtaining valuable information on the total precipitation total, which can be used to supplement data from measurements by meteorological radars and ground-based rain gauges to calculate a combined precipitation estimate. However, measurements with microwave links are still fraught with a number of errors and inaccuracies. The aim of this work is to search for and design possible new methods for refining this measurement, and also to optimize existing methods so that the resulting data reaches the required quality and accuracy for use in further processing in professional hydrometeorological applications.

   Supervisor: Mlýnek Petr, doc. Ing., Ph.D.

5. Methods for penetration test

   The topic is focused on research and design of new methods that can be used during the security testing (penetration test). The research is focused on suitable methods for web applications penetration testing, network infrastructure penetration testing, but also for penetration testing of dedicated devices such as smart meters. The participation on Department’s research projects is expected.

   Supervisor: Martinásek Zdeněk, doc. Ing., Ph.D.

6. One class learning for visual anomaly detection of complex shapes

   One-class classification includes model learning techniques using "normal" data (or highly unbalanced data) and predicting whether new data is normal or anomaly when compared to the training data. This technique has a high potential for application in many scientific areas, especially in the field of visual quality control and products and e-health. The aim of the dissertation is the design and implementation of innovative techniques based on machine learning, which will be used for automatic detection of failures of complex shapes.

   Supervisor: Burget Radim, prof. Ing., Ph.D.

7. Security in Converged Networks

   The aim is to analyse the up-to-date development and trends in the area of converged networks, mainly the problems of protection against cyber attacks. Design of innovative or new protection methods is supposed to be based on obtained observation. The research requires an orientation in the networks area, experience with MATLAB or SCILAB programs, and knowledge of at least one of VHDL, C or Java languages, evolutionary algorithms, and possibly use of the system FPGA.

   Supervisor: Škorpil Vladislav, doc. Ing., CSc.

8. Spatiotemporal Analysis and Synthesis of Sound Field

   The spatiotemporal analysis displays the cumulative development of the sound field as a function of direction of the sound intensity using the spatial impulse response. Application of this method is, for example, an analysis of listening rooms, estimation of direction of the incoming sound and more. On the contrary, the spatiotemporal synthesis allows the perceptually based reproduction of 3D sound field for film and multimedia production, virtual and augmented reality or 360-degree video. The aim of dissertation thesis is research and development of methods of sound field pick-up using microphone arrays and subsequent synthesis for specific rendering systems.

   Supervisor: Schimmel Jiří, doc. Ing., Ph.D.

9. Spatiotemporal Analysis and Synthesis of Sound Field

   The spatiotemporal analysis displays the cumulative development of the sound field as a function of direction of the sound intensity using the spatial impulse response. Application of this method is, for example, an analysis of listening rooms, estimation of direction of the incoming sound and more. On the contrary, the spatiotemporal synthesis allows the perceptually based reproduction of 3D sound field for film and multimedia production, virtual and augmented reality or 360-degree video. The aim of dissertation thesis is research and development of methods of sound field pick-up using microphone arrays and subsequent synthesis for specific rendering systems.

   Supervisor: Schimmel Jiří, doc. Ing., Ph.D.

10. 5G Mobility Network Data Ingestion into “As a Service” Management Platforms

    The Telecommunications Industry is rapidly migrating mobile networks to the 5G standard. At the same time, the IT Industry is moving applications out of local compute and storage nodes into the cloud, including Telecommunications company network management departments. As Telecom network management applications are moved to the cloud, there are concerns about the performance and scale of “As a Service” platforms performing network management functions. One specific area of concern is the ingestion of the massive amount of network data associated with modern 5G mobile networks. This thesis will focus on architectures and approaches to solving real-world performance and scale issues associated with 5G network data ingestion into “As a Service” platforms for Tier 1 Telecommunications service providers.

    Supervisor: Hošek Jiří, doc. Ing., Ph.D.