VSB - Technical University of Ostrava

PhD in Cybernetics

Full-time/Part-time

PV - Professional subjects (Choice-compulsory type B)

• Advanced Signal Processing Methods
• Applets of Integral and Discrete Transforms
• Basic Methods of Statistical Data Analysis in Practice
• Common Theory of Signals and Systems
• Cybernetic Methods in Robotics
• Distributed Control Systems.
• EMC in Electronic Measurement and Equipment
• Fuzzy Systems
• Mathematical Methods and Tools for Reliability and Risk Analysis
• Methods of Optimization
• Modeling, Identification and Simulation in Technical Cybernetics
• Modern Control Theory
• Modern Diagnostic Methods in Medicine
• Modern Methods of Control Systems Software Design
• Neural Networks
• New Trends and Methods in Therapeutic Medical Instrumentation
• Numerical Methods
• Reliability of Electronic Devices
• Safety Related Control Systems
• Sensor Networks for Remote Monitoring of Biosignals
• Sensor Systems in Medical Instrumentation
• Signal Processors and Applications
• Special Instrumentation and Technology in Medicine
• Special Microelectronic Sensors
• Systems of Distributed Medical Diagnostics and Therapeutics
• Tools for Design and Prototype of Embedded Control Systems
• Tools for Measurement and Test Systems Automation

PV - Language (Choice-compulsory type B)

• English Language Dr.
• French Language Dr.
• German Language Dr.
• Russian Language Dr.

Study aims

The aim of the educational process is the education of specialists being graduates of magister study that can pursue independent creative work in the area of research, development and technology improvement. Studying further theoretical subjects with applications according to individual study plans and finishing with a dissertation thesis oriented on cybernetics, PhD student proves his/her ability to creatively extend previously obtained knowledge in a given field of study.The study program Cybernetics includes the use of a cybernetic approach for the analysis, modelling, simulation and design of systems. Further, it applies theoretical knowledge from cybernetics to other fields. Technical cybernetics as a main area of application involves:

• Dynamic systems: control systems with feedback, stochastic and fuzzy descriptions of systems, control algorithms, embedded control systems, etc.
• Transmission of information: transmission and processing of signals, sensors, measurement and information systems, industrial networks, information entropy, communication channels, etc.
• Artificial intelligence: machine learning, multi-agent systems, robotics, neural networks modelling and design, expert systems, etc.
• Information technologies for control systems: real-time operation systems, software for real-time applications, SCADA systems, software for communication, etc.

The program is conceived so that to enable study in other application areas of cybernetics, being based on the coexistence of electrical engineering with computer science and computational mathematics on the Faculty, for example, Biocybernetics: modelling and simulation of physiological phenomena, transmission, processing and sensing of biological signals, hardware and software design for medical systems, Bioinformatics, stochastic modelling based on advanced statistical methods, etc.

Graduate's knowledge

The graduate has an overview of the whole field of Cybernetics, at a width and depth exceeding the level of the master's students. Primarily, the graduates have systematic and deep knowledge of cybernetic principles, approaches and procedures. The scope of the knowledge is in good accordance with recent state-of-the-art cognitions: he has deep and systematic knowledge of theory, concepts, and methods used in cybernetics, which are top findings on an international level. He can understand scientific problems that are on the boundary between different cybernetic applications and other scientific fields and disciplines.

Graduate's skills

The graduate can design and use advanced scientific methods in cybernetics in such a way that enables to extend the cognition of the field based on his original creative approach. He is capable of solving interdisciplinary problems requiring knowledge not only in cybernetics but also in the collaborative field (e.g., biocybernetics, bioinformatics, biomedical engineering, etc.). He can develop and evaluate new cybernetic methods and theories, including the definition and differentiation of new focuses.

Graduate's general competence

The graduate can evaluate new knowledge and ideas of cybernetics in context with long-term social consequences of their use. He can do and manage his own new creative research work, for which he can gain resources and financial means. He can clearly and convincingly communicate his findings in the field of cybernetics to the other members of the scientific community (as well as to the general public) on an international level. He can use his knowledge, professional skills and general competencies in at least one foreign language.

Hard skills

• Medical image processing
• Knowledge of control units (CAN, LIN, Ethernet)
• NI LabVIEW programming language
• Knowledge of signal processing methods
• Knowledge in the field of industrial automation
• Knowledge of measurement and regulation - revolution, torque, and position control structures of electric drives
• Biological signal processing

Graduate's employment

The graduate will be able to carry out creative research activities on the boundary of cybernetics and other associated branches, using the newest methodological tools and optimization techniques, recently developed in the area of mathematics, applied mathematics and artificial intelligence.

Examples of posts where the graduate can find employment:

Research worker, participating in top research work within national as well as international projects and grants; manager in corporate research, reacting to market needs and recent developments in cybernetics and applied cybernetics; manager in the area of a

new medical technique in faculty hospitals or medical institutes; lecturer and guarantor of corresponding university subjects, etc.

Professions

• Researcher in measurement and testing systems
• Researcher in automation
• Research team leader in the area of cybernetics (automation, embedded systems, robotics)
• Researcher in robotics
• Researcher in embedded systems