ORGANISATION NAMEUniversity of Zilina
RESEARCH FIELDProfessions and applied sciences
CAREER STAGEFirst Stage Researcher (R1) (Up to the point of PhD)
Dear prospective PhD student. We are looking for a PhD student who wishes to apply for our PhD position in Applied Informatics/Applied Computer Science with the possibility of funding.
PhD Project Title: Effective discovery of accurate and interpretable fuzzy rules in data.
Tutor: Assoc. Prof. doc. Ing. Jan Bohacik, PhD.
Place of Studies: Department of Informatics, Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia.
The University of Zilina is a public university in Zilina, Slovakia established in 1953. It has 231 accredited fields of study in all forms and degrees of university studies. In the field of science and research, University of Zilina participates in 200 national and 41 international scientific projects and organizes about 60 scientific and professional events annually. The University has signed bilateral cooperation agreements with more than 150 foreign partners and it belongs to the most successful universities within the Erasmus Programme, both in the number of seconded staff and students. Students study in modern and well-equipped classrooms and laboratories centralized on the complex and modern university campus at Velky Diel, located in quiet surroundings nearby a forest park but at a reasonable walking distance from the accommodation facilities as well as the historical center of Zilina. University of Zilina has a burning ambition to continue in dynamic growth, to provide high quality education, to educate well-prepared and demanded graduates, and to develop international cooperation both in science and education.
Compulsory Study Units:
Mathematical Principles of Applied Informatics
Theory and Methodology of Applied Informatics
Subject of Specialization
Problem Area Description:
Many organizations collect a large amount of data in their information systems nowadays. However, these cannot often be used directly for automated and intelligent decision support. Some knowledge which can be discovered through the process of knowledge discovery in data is required. A knowledge representation close to human thinking has the form of rules. The inclusion of uncertainties from the real world using the notions of fuzzy logic leads to the concept of fuzzy rules.
The goal of the project is to design new or improved methods for finding a highly interpretable group of fuzzy rules in specified data and to implement a related software tool. The interpretability is judged by readibility for the expert. During the development of the methods, it will be important to test the accuracy of found fuzzy rules in deployed decision support.
The proposed methods will be validated on available data such as medical data about patients with heart disease.
Expected Scientific Contributions:
Development of new methods and algorithms for the discovery of interpretable knowledge in domain-specific data. Experts will also be helped with understanding the interrelationships among various input data in a way natural for humans and with supporting their decision making more precisely.
Analysis of available literature, use of existing algorithms for the creation and deployment of fuzzy rules, development of new or improved algorithms for specific data from a defined domain, testing of achieved accuracy and interpretability.
Type of Research: Applied research and experimental development.
Related Results Achieved at the Place of Studies Till Now:
Research and development in the area of algorithms for the selection of representative data from large databases has been started within solved tasks . There is a software tool which enables the use of selected data for knowledge discovery in databases , , .
 J. Bohacik, A. Fuchs, M. Benedikovic, “Detecting compromised accounts on the Pokec online social network,“ in International Conference on Information and Digital Technologies, IEEE, 2017, Slovakia, pp. 56-60.
 J. Bohacik, D. N. Davis, “Fuzzy rule-based system applied to risk estimation of cardiovascular patients,“ Journal of Multiple-Valued Logic and Soft Computing, vol. 20, no. 5-6, 2013, pp. 445-466.
 J. Bohacik, “Discovering fuzzy rules in databases with linguistic variable elimination,“ Neural Network World, vol. 20, no. 1, 2010, pp. 45-61.
 J. Bohacik, M. Zabovsky, Fuzzy Rule Miner: A software library used in project based teaching of topics related to knowledge discovery in databases“, in IEEE 16th International Conference on Emerging eLearning Technologies and Applications, IEEE, Slovakia, 2018, pp. 75-80.
Application Deadline: 31 May 2019.
Application Fee: 20 EUR (both electronic and traditional).
Entrance Exam: 24 June 2019, 25 June 2019.
Beginning of Studies: 01 September 2019.
Standard Duration of Studies: 3 years for full-time students and 4 years for part-time students.
Study Program: Applied Informatics/Applied Computer Science.
Eligible Countries: Citizens of all nationalities are eligible to apply.
Scholarship Award: Full-time students with permanent stay in any European Union country studying in Slovak or English receive a stipend of 8100 EUR per annum before the Draft of PhD thesis is successfully submitted (at about the end of the first year) and 9438 EUR per annum after it until the end of the standard duration. Full-time students without a permanent stay in any European Union country do not have right to get a stipend but the faculty can decide to give it (it can be a different amount to 8100 EUR/9438 EUR). There are no tuition fees for full-time students studying in Slovak. Part-time students studying in Slovak pay a tuition fee of 2000 EUR per annum. A tuition fee of 3500 EUR is paid by both full-time and part-time students studying in English, but a waiver of this tuition fee might be possible for full-time students by the rector of the university if the tutor recommends it. The stipend is not taxed in Slovakia and it is not subject to any other deductions. Please discuss your specific situation with the faculty so that your options are confirmed exactly.
Jan.Bohacik(at)fri.uniza.sk [change (at) for @].
Phone: +421-41-513 4187.
Electronic Application Form:
Terms & Conditions of the Faculty of Management Science and Informatics, University of Zilina:
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