PhD in Informatics Engineering
Kaunas, Lithuania
DURATION
4 Years
LANGUAGES
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PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
Sep 2025
TUITION FEES
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STUDY FORMAT
On-Campus
* Deadline for application will be stated at the beginning of 2025 (February / March)
Introduction
PhD in 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.
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Admissions
Scholarships and Funding
Students admitted to state-funded places of doctoral studies receive a monthy scholarship. PhD students may receive additional funding for their scientific activies, excellent results of studies and scientific research or for participation in the international scientific conferences, seminars, and science competitions.
Curriculum
- Development and research of the autonomous control system of the bioreactor
- Artificial and ambient intelligence application to simulation and smart design of optimal and reliable system
- Design for Explainability: Methods and Models for Explainable Artificial Intelligence Based Decision Support
- Application of deep learning techniques for dynamic images anomality detection
- Application of deep learning models for effective analysis of seabed imagery
- Machine learning models for solving object shape recognition problems
- Cardiovascular Disease Prediction Using Machine Learning Algorithms
Program Outcome
Doctor of Science
Program Tuition Fee
Program delivery
This program is delivered in English.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.