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Doctoral School of Information Science and Technology [Engineering Science]

Insitution:University of Pannonia
Faculty:Faculty of Information Technology
Course / programme name:Doctoral School of Information Science and Technology [Engineering Science]
Branch of Science:Engineering Science
Level of studies:Doctoral
Qualification:PhD in Information Science and Technology
Language of instruction:English
Duration of the course / programme:8 semesters semesters
Location/city of the course:Veszprém
Study in Hungary link:http://studyinhungary.hu/institution/university-of-pannonia-88.html
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The training and research programme of the Doctoral School of Information Science is open to a wide field of information science and of its technical applications. Its topics flexibly cover the constantly changing training and research demands. The research in its scientific workshops is of international level. The research is controlled by internationally recognized and highly appreciated professors. The main research directions of the Doctoral School are: (1) Image and signal processing, including image recognition, presentation and processing, new efficient methods in image retrieval, in object recognition in video analysis and advanced signal processing methods using sensor networks. (2) Medical informatics systems: diagnostics and modelling studies of brain and cardiovascular systems, analysis and synthesis of food input regarding many components, development of intelligent informatics systems containing remote diagnostics and therapical units. (3) System and control theory: intelligent diagnosis of complex systems, state and parameter estimation of nonlinear and stochastic systems, advanced control methods for energy systems, system and control theory approach of smart grids. (4) Optimization of large-scale industrial systems and processes: developing methods and softwares for the analysis of complex processes and systems, for their design, optimization and decision support. (5) Deterministic and stochastic dynamical system models: developing new theoretical and numerical methods motivated primarily by mathematical models describing biological processes and neural networks, their applications to practical problems. (6) Applications of combinatorics in information technology: structural and extremal study of discrete mathematical models, mainly graphs and hipergraphs, study of the algorithmical complexity of combinatorical problems, study of approximability of discrete optimization, study of the competitive ratio of on-line scheduling. More details can be found at https://mik.uni-pannon.hu/index.php/en/itdi-a-doktori-iskola-bemutatasa.html

MSc degree in information technology, informatics or computer science, TOEFL or IELTS language certificate in English with fluent reading and speaking skills, a preliminary acceptance letter from a supervisor accredited at the Doctoral School, a research plan that is conform with one of the topics offered by the Doctoral School.
Entrance examination:Yes
Entrance type:Oral
Minimum level of language proficiency (oral):B2
Minimum level of language proficiency (written):B2
Place of examination:Online

After checking the certificates proving the qualification (degree, language certificate, transcript, research plan), the applicants are invited for a Skype interview to estimate their knowledge, language knowledge, proficiency in their research topic, their motivation. We will check whether the research plan of the applicant fits the profile of the Doctoral School.
Contact person name:Ms Orsolya Ujvári
Contact person job position:international coordinator
Contact e-mail:ujvari.orsolya@mik.uni-pannon.hu
Contact website:https://mik.uni-pannon.hu/en/research-development/doctoral-school/admission
Contact person name:Ms Orsolya Ujvári
Contact person job position:international coordinator
Contact e-mail:ujvari.orsolya@mik.uni-pannon.hu
Contact website:https://mik.uni-pannon.hu/en/research-development/doctoral-school/admission
Availability of preparatory year in the Stipendium Hungaricum programme:No
Availability of specialisation year in the Stipendium Hungaricum programme:No
Min. students1
Max. students4