PhD in Computer Science and Engineering

The goal of the doctoral study programme is to provide outstanding graduates from the MSc study programme with a specialised university education of the highest level in certain fields of information technology, including especially the areas of information systems, computer-based systems and computer networks, computer graphics and multimedia, and intelligent systems. The education obtained within this study programme also comprises a training and attestation for scientific work.

• Graduates from the doctoral study programme are trained to independently work in research, development, or management.
• They are able to solve and/or to lead teams solving advanced conceptual, research, development, or production problems in the area of contemporary information technology and its applications.
• They can be engaged to work on creative tasks, to lead research and development teams, or to work in management of companies or organizations whenever there are required abilities to work in an independent and creative way, to analyze complex problems, and to propose and realize new and original solutions. Graduates from the doctoral study programme can also teach and/or scientifically work at universities.

The scope of a doctoral state examination is determined by the individual study plan of the student being examined and by the theme of his/her future dissertation thesis. Within the examination as well as within a report on the theme of the dissertation thesis, the student proves his/her knowledge of the state of the art methodologies, theories, and their applications on a level exceeding the level common in MSc study programmes. The doctoral state examination also encompasses an evaluation of the presumed goals of the future dissertation thesis of the student, of the chosen solution method, and of the so far obtained original results.

• Definition and control of processes in object-oriented information systems
• Dynamically reconfigurable computer architectures
• Architectures of hardware and software of multiprocessor systems
• Applying formal approaches to the verification of testability of digital circuits
• Solving large systems of differential equations in extremely fast and exact ways
• Parallel compilers: models, techniques, and implementation
• Heterogeneous systems modelling
• Formal specification and verification of communication protocols
• Biometric security systems
• Methods of acquiring knowledge from WWW
• Automatic speech processing for security applications
• Acceleration of raster image recognition