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Informatics Engineering

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

Double degree programme with the University of Bologna, Italy

Informatics Engineering is a branch of computer science, focused on effective solution of practical computation and information processing problems with application of scientific knowledge. This programme of doctoral studies aims to prepare future scientific leaders in the scientific field of Informatics Engineering. Each doctoral student who aims to acquire doctoral degree has to complete doctoral studies in the scope of 30 credits, conduct original scientific research in the scientific field of Informatics Engineering and develop new scientific knowledge, present the results of his/her scientific research in national and international scientific conferences and scientific journals, write and orally defend his/her doctoral dissertation. Programme provides doctoral students with a possibility to complete one study module at the foreign academic institution or participate in summer camp for doctoral students organised abroad and actively conduct the most advanced scientific research at the integrated centre of science, entrepreneurship and studies of Santaka valley since the first day of their studies. Awarded doctoral degree proves that doctoral student acquired a deep academic education and is able to conduct original scientific research in the field of Informatics Engineering.

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

Research topics

Topic title Possible scientific supervisors Source of funding
Artificial intelligence based method for predicting symptoms of early Dementia though the analysis of multimodal feature signals
prof. dr. Rytis MASKELIŪNAS state-funded
Zero-day network intrusion recognition using artificial intelligence methods
prof. dr. Robertas DAMAŠEVIČIUS state-funded
Deep neural network based monitoring methods of diabetes complications
prof. dr. Vidas RAUDONIS state-funded
Application of deep learning techniques for dynamic images anomality detection
doc. dr. Arūnas LIPNICKAS state-funded
Unsupervised, Deep Learning-Based Detection of Failures in Industrial Machinery
prof. dr. Rytis MASKELIŪNAS state-funded
Application of Generative Adversarial Networks for novelty detection in one-class problems
doc. dr. Arūnas LIPNICKAS state-funded
Non - contact methods for monitoring of human vital signals
prof. dr. Vidas RAUDONIS state-funded
Continuous bioprocess modeling and optimal control
prof. dr. Renaldas URNIEŽIUS state-funded
A study of Virtual Reality application for learning systems
prof. dr. Tomas BLAŽAUSKAS state-funded
Machine learning models for solving object shape recognition problems
doc. dr. Armantas OSTREIKA state-funded
Cyber security artificial intelligence methods for predicting and managing energy consumption in mobile devices prof. dr. Jevgenijus TOLDINAS state-funded
Download the list




Entry requirements

Minimum requirements

Persons with a Master’s Degree in technological or physical sciences 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 7.5

Additional conditions:
1. A recommendation by the supervisor of the topic to which the candidate is applying
2. A consent of the supervisor of the topic to which the candidate is applying to supervise the candidate if he/she is invited to studies
3. An applicant must have at least one scientific publication (a research paper is not acceptable)


Application procedure

Mandatory documents for admission:

  • Filled in application form (online)
  • Official legalised Master’s diploma in technologies or physical sciences 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 (see academic recognition)
  • Curriculum Vitae
  • Recommendations by two researchers of the relevant science field (one of the recommendations must be written by the supervisor of the research topic that the candidate is applying to)
  • A research proposal on the topic  selected for admission
  • A consent of the supervisor of the topic to which the candidate is applying, to supervise the candidate if he/she is invited to studies
  • A list of the research works (this list is submitted with full bibliographic description) along with copies of the research works (it is required to have at least one scientific publication published or accepted for publication and submit a copy thereof)
  • 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, 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


Research experience

Research experience in ten-point grading system (publications are evaluated according to the current regulation for the annual evaluation of research and experimental development and artistic activities of universities and science institutes approved by the order of the Minister of Education and Science of the Republic of Lithuania, any other research experience and compliance of the scientific qualification, scientific publications and research experience with the topic of doctoral studies)


Research proposal on the selected topic for admission


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





Study programme modules