These studies combine knowledge of computer systems, software development and technological solutions. The Informatics Engineering PhD programme is designed for individuals aiming to develop and analyse advanced computing systems, the Internet of Things (IoT), cloud computing, cybersecurity and autonomous systems. Doctoral students solve real-world problems and develop innovative technologies for industrial automation and robotics, making use of artificial intelligence.
Doctoral studies address current challenges in computing and information processing by utilising advanced technologies. They promote collaboration with industry, enabling research to be applied in practice, thereby contributing to the development of modern technologies and future digital solutions.
Graduates acquire the knowledge and skills needed to develop and implement information technologies on a global scale, participate in international research projects, take the lead on research initiatives, and set up their own businesses. The rapidly growing demand for these specialists ensures a promising career path.
Doctoral students can pursue a double degree with the University of Bologna and obtain the Doctor Europaeus Certificate. They can also participate in university-funded training programmes to develop their skills and undertake paid project work. They can also gain teaching experience, present their research at academic and science outreach events, and collaborate with industry and businesses.
A range of financial support is available, including scholarships and opportunities to participate in international research activities and present results at conferences. There are also opportunities to conduct Erasmus+ funded research abroad. Additional funding is also available for academic achievement and research activity.
| Module name | Credits | Method of organisation |
|---|
| Methods of Information Technologies | 9 | Blended learning |
| Module name | Credits | Method of organisation |
|---|
| Intelligent Business Process Modelling and Simulation | 6 | |
| Artifical Intelligence in Information Systems | 6 | |
| Cloud Computing Technologies | 6 | |
| Conceptual Modelling and Knowledge Representation | 6 | |
| Deep Learning Engineering | 6 | Blended learning |
| Hybrid Systems for Control and Optimisation | 6 | On-campus learning |
| Information Security Technologies | 6 | |
| Large Scale Machine Learning | 6 | |
| Machine Learning and Neural Networks | 6 | |
| Methods of Information Visualization | 6 | |
| Methods of Multimedia Systems | 9 | |
| Models of Information Requirements Specification | 6 | On-campus learning |
| Process Modelling and Identification | 6 | On-campus learning |
| Scientific Visualisation | 3 | Blended learning |
| Systems Analysis Technologies | 6 | On-campus learning |
| Module name | Credits | Method of organisation |
|---|
| Academic Communication | 6 | |
| Fundamentals of Research Methods | 9 |
| Module name | Credits | Method of organisation |
|---|
| Academic and Technical Research Writing | 1 | Blended learning |
| Design Thinking in Research | 2 | On-campus learning |
| Digital Support and Tools for Research Writing and Publication | 2 | Blended learning |
| Research Data Management | 1 | On-campus learning |
| Research Ethics | 1 | On-campus learning |
| Research Project Grant Management | 2 | Blended learning |
| Science Communication for the Public | 1 | Distance learning |
| Systematic Literature Review | 1 | Blended learning |
|
Persons with a Master's Degree or equivalent degree of higher education in the fields of Physics, Mathematics or Informatics in the study fields of Technologies
or Natural 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 7.0. |
| 0,35 | weighted grade point average of the diploma supplement | |
| 0,3 | research experience | |
| 0,35 | motivation interview |
| The supervisor’s written agreement to supervise the applicant if the applicant is invited to study. |
| The applicants must have at least one scientific publication published or admitted for publication and submit a copy of the publication; otherwise, the application is not considered. |
| Research proposal on the selected topic. |
Doctoral studies offer an exciting opportunity to be at the forefront of technological innovation, solve complex problems and create algorithms, as well as contribute to cutting-edge research that is transforming industry. Having completed my master’s degree at KTU, I chose to continue my doctoral studies at this university because of its exceptional lecturers and active academic community, who inspire me to grow and develop.
Doctoral studies are like an intellectual extreme sport full of challenges. Luckily, KTU provides an excellent foundation: structure, research support, and the opportunity to challenge yourself as both a scientist and a person. I appreciate meeting like-minded people, collaborating with them, and even working with younger students. These years are the most challenging, but also the most rewarding – I can now pursue a successful university career.
No, applicants must have at least one scientific publication. Therefore, you cannot apply to this field without any published research.
Informatics Engineering doctoral students have the opportunity to pursue a double degree with the University of Bologna (Italy), seek a European Doctorate certificate, and participate in paid research project activities.
PhD students receive a scholarship calculated based on the state-established Basic Social Benefit (BSI). In the first year of studies, the scholarship amounts to 19.0 BSI per month, while second, third and fourth-year doctoral students receive 22.0 BSI per month.
In 2026, the monthly scholarship for first-year students is 1,406 EUR, and for second to fourth year doctoral students it is 1,628 EUR per month.
Doctoral School
Studentų g. 50, 51368 Kaunas
email phd@ktu.lt
Faculty of Electrical and Electronics Engineering
IX Chamber
Studentų St. 48, LT-51367 Kaunas
email eef@ktu.lt
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