Geometric white and red diagonal window with four squares forming visual code – representation of computer science, algorithms and artificial intelligence research in natural sciences doctoral program at Kaunas University of Technology.

Informatics

Joint doctoral studies with Vytautas Magnus University and Vilnius Gediminas Technical University.

Informatics is a rapidly evolving field based on computational science and mathematical modelling. This programme focuses on artificial intelligence, data analysis, computer intelligence and signal and image processing. The programme is aimed at individuals pursuing interdisciplinary research and innovative solutions for technological progress.

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Values of the Science Field

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Relevance

Doctoral students generate new knowledge and apply what they have learnt in practice through research. They develop the skills needed to create artificial intelligence solutions and intelligent systems for use in industry, energy, transport and other fields. Their research focuses on networked and self-learning systems, digital transformation, and the integration of artificial intelligence across sectors.

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Opportunities

Doctoral students have the opportunity to work in international teams, participate in prestigious research projects and contribute to the development of innovative solutions and future technologies. Upon graduation, they will be well-prepared for careers in academia, the technology industry or the private sector, where they can become leaders in the development of artificial intelligence solutions.

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Benefits

Doctoral studies offer the prospect of working on paid projects and collaborating with industry, as well as gaining teaching experience. Students can also earn the Doctor Europaeus Certificate and a double degree with the University of Bologna while developing their skills in scientific communication, project management and research ethics.

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Funding

Doctoral students receive a monthly scholarship and additional support for their studies, research and presenting their results at international conferences. They can also conduct research abroad through the Erasmus+ programme, and receive funding to attend international events. Additional scholarships are awarded for high academic performance and scientific achievement.

Research Topics

Topic title	Possible scientific supervisors	Source of funding

Admission Requirements and Study Modules in the Field of Science

Cycle – third cycle

Form, duration – full-time studies (4 yr.)

Language – Lithuanian, English

Degree awarded – Doctor of Science

Main modules

Module name	Credits	Method of organisation

Architectures of Neural Networks	9	Blended learning
Data Analysis and Visualization Methods	9
Heuristic Algorithms	3	Distance learning
Language Technologies and Information Retrieval	9
Mathematical Models in Informatics	9	Blended learning
Parallel and Distributed Calculations: Algorithms and Their Complexity Analysis	9
Quantum Algorithms	6

Core skills modules

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

Good to know

Main modules – provide essential knowledge in the field.
Core skills modules – develop general competences.

Main modules – provide essential knowledge in the field.
Core skills modules – develop general competences.

Admission requirements and minimum competition scores

Persons with a Master's Degree or equivalent degree of higher education in the fields of Informatics, Artificial Intelligence, Mathematics, Informatics Engineering, Physics, Mechanical Engineering,

Electrical and Electronic Engineering 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 8.0.

Selection criteria and their weighted coefficients

	0,35	weighted grade point average of the diploma supplement
	0,3	research experience
	0,35	motivation interview

admission requirements dates and deadlines for admission all science (art) fields

Testimonials

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As a doctoral student at KTU, I am thrilled to have the opportunity to delve deeper into my favourite field of informatics and contribute to developing new technological solutions. I am grateful that this programme offers a flexible schedule, enabling me to balance scientific activities with international projects and personal growth. The presence of professional lecturers and an active scientific community motivates me to achieve my goals.

Arnas Nakrošis

PhD student

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The wide variety of opportunities is what I like most about doctoral studies. My field enables me to combine mathematics and computer science seamlessly in my scientific work. At KTU, I had the chance to take part in an international summer school and meet doctoral students from universities around the world. I also appreciate the freedom to participate in faculty events, internships, and summer or winter schools.

Ernestas Uzdila

PhD student

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My time as a doctoral student at KTU encouraged me to think independently, conduct my own research, and write scientific publications. I am grateful for the support of my lecturers and supervisor, and for the opportunity to participate in projects and conferences. For my dissertation, I combined informatics, mathematics, and health, collaborating with specialists from other fields. I now teach and do research at KTU, using what I gained.

Eglė Butkevičiūtė

Lecturer, researcher