Informatics

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.

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Code N009
Cycle Third cycle
Language Lithuanian, English
Duration 4 y.
Degree awarded Doctor of Science
  • Vytautas Magnus University
  • Vilnius Gediminas Technical University
Doctoral research topics for candidates to doctoral studies intake 2019

 

 

Topic title Possible scientific supervisors Source of funding
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
Download the list
 

Minimum requirements

Persons with a Master’s Degree or equivalent degree of higher education may participate in an open competition for admission to doctoral studies.

Applicants to the doctoral program in the field of science are accepted by competition according to the competition score. Minimum Competition Score 7

 

Application procedure

Application and the following documents are submitted online at apply.ktu.edu

  • Official legalised Bachelor’s and Master’s diplomas or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified)
  • A copy of the passport page containing personal data, or ID card
  • Curriculum Vitae
  • Recommendations by two academic referees or researchers from the relevant field of science
  • List of scientific publications (also accepted publications)
  • Copies of scientific publications (or a research paper on the topic (-s) consistent with the dissertation topic (-s) indicated in the candidate’s application, if a candidate does not have any publication)
  • Copy of application fee payment (40 EUR for EU citizens, and 100 EUR for non-EU citizens)
  • Certificate of English proficiency: IELTS >=6.5, TOEFL>=90, ECFR>=C1, or equivalent (or a proof that the previous studies were in English)
  • Consent for the processing of the candidate’s personal data at the University

Participation in motivational interview  (Kaunas University of Technology, K. Donelaičio g. 73, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

 

Selection criteria and their weighted coefficients

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

Weighted average of the marks of diploma appendix

0,45

Motivation interview

Evaluation of comprehension and relevance of chosen research topic, ability to generate answers, evaluated in 10-point grading system

0,2

Recommendations of scientists

0,05