|Nominal duration||4 years (30 ECTS)|
|Awards||PhD (PhD of Informatics)|
|Tuition fee||€8,015.00 per year|
|Application fee||€100.00 one-time
Payable within 2 weeks from the application submission by transferring it to the KTU bank account. Details will be provided during application.
Postgraduate diploma (or higher)
1. Master’s diploma or a higher education degree equivalent to it and diploma supplement.
The entry qualification documents are accepted in the following languages: English / Lithuanian.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
You must take verified copies of the entry qualification documents along with you when you finally go to the university.
If your previous studies have been fully in English and it is marked on your degree certificate or transcript, or noted in a confirmation from the school which confirms that your studies have been fully in English language, additional English certificate is not required.
At least 2 reference(s) must be provided.
Two separate up-to-date references signed by academic referees or researchers from the relevant field of science.
A motivation letter must be added to your application.
1. Copy of ID card or passport with indicated personal data.
Science Field of Informatics (09P)
Right for Doctoral Studies has been granted for Kaunas University of Technology (KTU) together with Vytautas Magnus University (VMU).
PhD applicants have to choose one (or max. two) of the following dissertation topics:
1. Investigation of relationships between cardiac parameters and Earth‘s magnetic field
2. Modelling an influence of electrical synapses in shaping behavior of neuronal networks
3. Application of stochastic programming to pension fund management
4. Cryptographic information protection
5. Real time shape recognition and comparison algorithm for depth scanning systems
6. Reconstruction algorithm of invisible sides of a 3D object for depth scanning systems
7. Finite Element Computational Models and Simulation Algorithms of Heat Exchange in Smart 8. Textile Structures for Estimation of Wearing Comfort Conditions
9. Effectiveness Analysis of Smart Systems for Information Integration and Health Care
10. Applying nonlinear statistics for big data analytics
11. Automated design of optimal and reliable systems analysing ambient intelligence