See PhD Programs in Computer Science in Czech Republic 2019

The final admission decision depends on the Dean of the Faculty, on the base of the recommendation of the admission committee composed of guarantors of the study program.... [-]

The program focuses on the education of graduates prepared to solve research problems in the sub-area of computer science related to the generation and processing of visual information (computer graphics, image analysis, machine vision) and/or computer games development.

The primary means of education is independent research, publication, and presentation of research results, as well as their eventual transfer to the industry through student internships. The creative activity within the program focuses on developing new or improving existing mathematical methods, algorithms and technologies dealing with computer processing of visual information and with computer games. The program reflects the growing demand for advanced technologies and builds on the exceptional expertise of MFF UK and UTIA ASCR in these research areas. Graduates can be employed in academia, public research institutions, and private companies.... [-]

The program aims at providing the graduate with the knowledge and research experience in a wide range of fields in discrete mathematics and theoretical computer science, based both on contemporary theoretical trends and on applications in physics, biology and other branches of science. The graduate gains knowledge and experience necessary to contribute to the research and development on an international level and is ready to take a leading role in shaping the trends in these fields.

The program does not contain specializations.

Admission for studies

Admission for studies will be granted to the applicants, who:

Computational linguistics is an interdisciplinary scientific field involving mathematics (including topics such as discrete mathematics, statistics, and probability), computer science (e.g. algorithmization, machine learning, artificial intelligence) and classical linguistics (e.g. morphology, syntax, language typology). Computational linguistics investigates language from a formal point of view, and it aims at developing methods that could be used in software applications in the field of Natural Language Processing, in which languages in their spoken or written form are handled.

The program does not contain specializations.

Admission for studies... [-]

The program addresses open topics in software system analysis, development, and application. In both theoretical and practical terms, it has foundations in the research of software architectures, programming languages, and notations, together with tools and methods for software analysis and construction. These are studied both in general terms and in the context of important software system classes such as the information systems, or the distributed or parallel systems. On the creative side, the program combines projects of basic and applied research, often with strong experimental aspects, with outputs including research prototypes alongside traditional publications.

The program does not contain specializations.... [-]

The program prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts.

In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as: algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.... [-]

It is an interdisciplinary study program which 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 specialist from different areas is needed. Typically, the 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 field of study is focused to research in information and control engineering, data acquisition technologies, measuring systems, computational intelligence and statistical signal and image processing. The interdisciplinary research in these areas allows to integrate separate disciplines and to use similar mathematical background in different applications. Topics studied include chemical sensors, measuring techniques, analysis of multichannel and multidimensional data, image analysis, data modelling, artificial intelligence and robotics. Applications are related but not limited to sensor systems, biomedical data processing, biotechnology and control of engineering systems.

Abbreviation: VTI-DR-4

Faculty: Faculty of Information Technology

Academic year: 2018/2019

A title awarded: Ph.D.

Level of qualification: Doctoral (3rd cycle)

Qualification awarded: Ph.D. in the field "Computer Science and Engineering"

Specific admission requirements

A student may be admitted to the doctoral degree programme provided that he/she graduated from a master degree programme from the area of computer science and engineering and provided that he/she passes an entrance examination.

In order to be able to successfully pass the entrance examination, the student is required to select a theme of his/her future dissertation thesis from among of those offered by the faculty, to have an outstanding knowledge of the theory and applications related to the chosen theme, to have skills for scientific work, to have good English language skills, and to obtain an approval from his/her future supervisor.... [-]