Informatics

Joint doctoral studies with Vytautas Magnus University and Vilnius Gediminas Technical University (coordinating institution: Kaunas University of Technology)

Informatics is the field of science 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. Doctoral 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.

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

Doctoral School
Student Info Center
Studentų st. 50
LT-51368, Kaunas
email phd@ktu.lt

 

Research topics

Topic title Possible scientific supervisors Source of funding
Design and analysis of adaptive classification algorithms
prof. dr. Tomas Ruzgas state-funded
Adaptive geometric iterative methods for data analysis
doc. dr. Svajūnas Sajavičius state-funded
Development of algorithms based on physics-informed deep neural network for simulation of dynamical systems
doc. dr. Dalia Čalnerytė state-funded
Development of Algorithms for Creating and Real-Time Adjustment of Unmanned Aerial Vehicle Flight Trajectories
doc. dr. Andrius Kriščiūnas state-funded
AI-powered building energy optimisation using physical models and deep learning prof. dr. Agnė Paulauskaitė-Tarasevičienė state-funded
Data Driven Evaluation of Hydrogen production and storage potential of depleted hydrocarbon fields and deep saline aquifers of Lithuania
prof. dr. Mayur Pal state-funded
Hierarchicity-based (self-similar) heuristic algorithms for combinatorial optimization problems
prof. dr. Alfonsas Misevičius state-funded
Computer vision algorithms for solving object shape identification problems
doc. dr. Armantas Ostreika state-funded
Confidential and verifiable transactions system in blockchain
prof. dr. Eligijus Sakalauskas state-funded
Metaheuristic approaches for maximally diverse grouping problems.
doc. dr. Gintaras Palubeckis state-funded
Synthesis of Model-based Development and Artificial Intelligence Techniques for Agile Requirements Engineering doc. dr. Lina Čeponienė state-funded
Detection and parameterisation of ophthalmological structures in eye fundus images
doc. dr. Martynas Patašius state-funded
Design and analysis for statistical hypotheses tests using simulation study
prof. dr. Tomas Ruzgas state-funded
Research and implementation blockchain-based reputation model of student
prof. dr. Vacius Jusas state-funded
Fractional order differential equations - models and algorithms
prof. habil. dr. Minvydas Kazys Ragulskis 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 field of science are accepted by competition according to the competition score. Minimum Competition Score 7.0

 

Application procedure

Mandatory documents for admission:

  • Application indicating the science field, the topic and the form of funding (online)*
  • Official legalised Master’s diploma with the diploma supplements or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified) and the certificate of recognition if higher education qualification acquired abroad 
  • Curriculum Vitae
  • Recommendations by two researchers of the relevant science field
  • A list of the research works with a full bibliographic description and copies thereof; if no research works by the applicant are presented, the applicant is required to present a research paper whose topic is consistent with the dissertation topic indicated in the applicant’s application (if the applicant applies to two dissertation topics, two individual research papers have to be submitted)
  • A copy of a valid personal document: a passport (for citizens of all countries) or an ID card (only for citizens of the European Union)
  • A copy of the receipt of the application fee payment (50 EUR for EU citizens, and 120 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

* The applicant can select no more than 2 (two) research fields and no more than 2 (two) topics per science field.

Participation in motivational interview  (Kaunas University of Technology, Studentų g. 50, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

 

Selection criteria and their weighted coefficients

Weighted grade point average of the Master’s diploma supplement

0,45

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

Recommendations by scientists

0,05

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

0,2

 

 

 

Study programme modules

 

 

 

Contacts

Doctoral School
Student Info Center
Studentų st. 50
LT-51368, Kaunas
email phd@ktu.lt