Joint doctoral studies with Vytautas Magnus University and Vilnius Gediminas Technical University.
Computer Science is one of the fastest-growing areas of science based on computational science and mathematical models. This PhD offers the opportunity to study Artificial Intelligence (AI), Data Analytics, Computational Intelligence, Signal and Image Processing and other innovative research areas. It is aimed at those interested in interdisciplinary and innovative research leading to original solutions that make a significant contribution to technological progress.
KTU PhD students in Informatics not only develop new theoretical knowledge but also put the principles of practical learning into practice by actively participating in ongoing research. Young researchers acquire the skills to develop next-generation IoT solutions and intelligent systems with applications in industry, energy, transport and other fields. Research includes the development of intelligent, networked and self-evolving systems, solutions for digital transformation and the integration of AI technologies in different sectors.
Cycle | Third cycle |
Language | Lithuanian, English |
Duration | 4 y. |
Degree awarded | Doctor of Science |
Doctoral School
Student Info Center
Studentų st. 50
LT-51368, Kaunas
email phd@ktu.lt
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 |
Mandatory documents for admission: |
* 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) |
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) |
0,25 |
Recommendations by scientists |
0,05 |
Motivational interview, including evaluation of the knowledge of a foreign language |
0,25 |