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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Cycle Third cycle
Language Lithuanian, English
Duration 4 y.
Degree awarded Doctor of Science
  • Vytautas Magnus University
  • Vilnius Gediminas Technical University
 

Research topics

Topic title Possible scientific supervisors Source of funding
Research and implementation of methods for brain-computer interface on the base of deep neural networks
prof. dr. Vacius JUSAS state-funded
Research of methods for development of explainable artificial intelligence algorithms
doc. dr. Agnė PAULAUSKAITĖ-TARASEVIČIENĖ state-funded
Machine learning-based model for detecting mechanical failures in noisy acoustic environments
prof. dr. Rytis MASKELIŪNAS state-funded
Posture detection model for a limited data scenarios
prof. dr. Rytis MASKELIŪNAS state-funded
Nonlinear time series analysis and applications
prof. habil. dr. Minvydas Kazys RAGULSKIS state-funded
Design and analysis of long series dependence estimators
doc. dr. Tomas RUZGAS state-funded
Computer vision algorithms for solving object shape recognition problems
doc. dr. Armantas OSTREIKA state-funded
Modelling of Financial Network and Their Topology Using Graph Theory
doc. dr. Kristina ŠUTIENĖ state-funded
Multicriteria decision making in finance using explainable artificial intelligence
doc. dr. Audrius KABAŠINSKAS state-funded
Hierarchicity-based (self-similar) heuristic algorithms for combinatorial optimization problems
prof. dr. Alfonsas MISEVIČIUS state-funded
Process mining and anomaly detection methods for preventive system maintenance prof. dr. Evaldas VAIČIUKYNAS state-funded
Data systems efficiency analysis and clients’ segmentation based on data science and artificial intelligence
prof. dr. Robertas ALZBUTAS state-funded
Machine learning and information integration research for disease prediction and health care
prof. dr. Robertas ALZBUTAS state-funded
Intellectual motion matching model for dynamic animation adjustment
prof. dr. Rytis MASKELIŪNAS state-funded
Generative adversial network based model for generating realistic animations from scratch based on dynamic features
prof. dr. Rytis MASKELIŪNAS state-funded
Download the list

 

 

 

Entry requirements

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 7.0

 

Application procedure

Mandatory documents for admission:

  • Filled in application form (online on 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)
  • Curriculum Vitae
  • Recommendations by two researchers of the relevant science field
  • A list of the research works (this list is submitted with full bibliographic description) along with copies of the research works (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 research works)
  • A copy of the passport personal data page, or a copy of the ID card
  • A copy of the receipt of the application fee payment (40 EUR for EU citizens, and 100 EUR for non-EU citizens)
  • A certificate issued by IELTS, TOEFL, CERF or any other competent institution within the last 2 years certifying the level of the English language if the candidate is not a graduate of the first or second cycle studies conducted in the English language

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 (The evaluation of the research experience includes the candidate’s scientific publications or the research paper, other research experience, scientific qualifications, the compliance of the scientific publications and research experience with the topic of doctoral studies)

0,3

Weighted grade point average of the Master’s diploma supplement

0,45

Motivational interview, including evaluation of the knowledge of a foreign language

0,2

Recommendations by scientists

0,05

 

 

 

Study programme modules