Informatics is the science field based on Computer Science and Computational Science. The research is carried out using mathematical models of analysed object or system, creating corresponding simulation algorithms and obtaining the results important for science and practice. PhD students investigate the research fields of data analysis, signal and image analysis, simulation modelling, computational intelligence, physically-based behavior, development and analysis of general dynamic models, cryptography algorithms, systems formalization and high-level transformation of specifications, etc. Some of the research fields can as also be categorized in the scientific field of Informatics Engineering, depending on the dominant aspect of the model’s implementation – mathematical model of a system or engineering-architectural aspect.
The aim of doctoral studies in Informatics is to educate scientists capable to develop and creatively apply the methods of information technology for creation and analysis of the mathematical models of real world objects and systems aiming to find solutions to important scientific and practical problems.
Apply| Code | N009 |
| Cycle | Third cycle |
| Language | Lithuanian, English |
| Duration | 4 y. |
| Degree awarded | Doctor of Science |
| Topic title | Possible scientific supervisors | Source of funding |
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| Numerical modelling of cell networks interconnected through gap junction channels | doc. dr. Mindaugas ŠNIPAS | state non-funded |
| Early fault identification techniques based on intelligent signal analysis algorithms | prof. habil. dr. Minvydas Kazys RAGULSKIS | state non-funded |
| Mathematical models of pension system | doc. dr. Audrius KABAŠINSKAS | state non-funded |
| Smart design of optimal and reliable systems | prof. dr. Robertas ALZBUTAS | state non-funded |
| Effectiveness analysis of smart systems for information integration and health care | prof. dr. Robertas ALZBUTAS | state non-funded |
| Hierarchical heuristic algorithms: design and computational analysis | prof. dr. Alfonsas MISEVIČIUS | state non-funded |
| Tax evation and fraud detection using big data analytics methods | doc. dr. Audrius KABAŠINSKAS | state non-funded |
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Persons with a Master’s Degree or equivalent degree of higher education may participate in an open competition for admission to doctoral studies. |
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Applicants to the doctoral program in the field of science are accepted by competition according to the competition score. Minimum Competition Score 7 |
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Application and the following documents are submitted online at apply.ktu.edu |
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Participation in motivational interview (Kaunas University of Technology, K. Donelaičio g. 73, Kaunas, Lithuania or online) |
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Signing a study agreement (if invited to study) |
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Research experience Research experience in ten-point grading system (publications, evaluated in points, according to current methodology for evaluation of research production, approved by Order of the Minister of Education and Science of the Republic of Lithuania, or research paper and other research experience, and research qualifications, conformity of research publications and research experience with topic of doctoral studies |
0,3 |
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Weighted average of the marks of diploma appendix |
0,45 |
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Motivation interview Evaluation of comprehension and relevance of chosen research topic, ability to generate answers, evaluated in 10-point grading system |
0,2 |
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Recommendations of scientists |
0,05 |
