Informatics Engineering

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 prepares 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.

The PhD program aims to prepare well-educated researchers, teachers, and future global leaders in Informatics Engineering.

Code T007
Cycle Third cycle
Language Lithuanian, English
Duration 4 y.
Degree awarded Doctor of Science
  • Vilnius Gediminas Technical University


Topic title Possible scientific supervisors Source of funding
Deep learning for monitoring and risk analysis of brain hemorrhage prof. dr. Robertas ALZBUTAS state-funded
UML, BPMN and SBVR integration for business processes and rules modelling for transforming them to IS design models prof. dr. Rimantas BUTLERIS state non-funded
Application of deep learning methods for the energy consumption prediction of the building prof. dr. Vidas RAUDONIS state non-funded
Application of deep learning techniques for dynamic images anomaly detection
doc. dr. Arūnas LIPNICKAS state non-funded
Cryptographic Algorithms Specification Methods for Power Consumption Forecasting and Management in Mobile Devices
prof. dr. Jevgenijus TOLDINAS state non-funded
Artificial intelligence based image processing method for detection of illegal driving maneuvers prof. dr. Rytis MASKELIŪNAS state non-funded
Efficient Learning method for Computer Vision from Small Datasets prof. dr. Rytis MASKELIŪNAS state non-funded
Microbial process modelling and optimal control
prof. dr. Renaldas URNIEŽIUS state non-funded
Identification and tracing methods creation and analysis of dishonest blockchain technology users
prof. dr. Eligijus SAKALAUSKAS state non-funded
Method for seating posture detection based on near field depth information prof. dr. Rytis MASKELIŪNAS state non-funded
Self training deep learning based method for „solving“ CAPTCHA systems prof. dr. Rytis MASKELIŪNAS state non-funded
Download the list


Minimum requirements

Persons with a Bachelor’s and Master’s Degrees in technologies or physical sciences 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 7,5


Application procedure

Application and the following documents are submitted online at

  • 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 (one of the recommendations must be written by the supervisor of the research topic the candidate is applying for)
  • A research proposal on the selected topic
  • 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)


Weighted grade point average of the diploma supplement


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


Research proposal