Measurement Engineering

Double degree programme with the University of Bologna, Italy

Possibility to pursue scientific research in The Welding Institute (UK) for the period of 3 years

It is the main doctoral studies programme in Lithuania directly related to knowledge of creation of high added-value solutions for various sectors of industry: aerospace, water, ground and air transport, renewable and nuclear energy. The accounting of such strategic energy resources, as oil, gas, electricity, etc. depends on measurable quantities. Areas of manufacturing, storage and support/maintenance require precise quality control, non-destructive testing and safety assurance for humans and environment. Acquired doctoral degree provides you with abilities to use the acquired exceptional knowledge at the beginning of the international career as the institution’s leading specialist, senior technologist or technical director.
The main objective of the programme is to educate talented researchers and leading specialists, who may contribute to recent research in a field of measurement engineering, create new knowledge with added value and apply it in practice. The programme aims to develop high level professionals, ready for academic and professional career in leading global education and research institutions.

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Topic title	Possible scientific supervisors	Source of funding
Research of application of continuous energy meters‘ error monitoring results for the needs of metrological supervision	prof. dr. Žilvinas NAKUTIS	state non-funded	Research Topic Summary. Currently, metrological in-service surveillance of electrical energy smart meters is implemented by applying sampling verification. The verification results of a group of sampled meters is used to judge regarding the validity of declared metrological characteristics of all batch of meters at the end of verification period. In the last years, more and more evidence emerges indicating that errors of smart meters’ drift not only due to the aging phenomena that is well described by probabilistic models but also due to reliability issues of building components and features of electrical loads. One way to address the increasing requirements of customer economical protection is to increase the sampling size for verification. This inevitably rises the cost of metrological supervision. Alternative opportunity would be to implement remote meter error in-service monitoring. However, a scientific problem exists which is related to the lack of knowledge about how to assist metrological supervision procedures before the expiration of verification period if the estimation uncertainty of errors of homogenous batch (lot) of meters is similar to meters’ accuracy class. The aim of the planned research is to develop and approve a methodology for the use of the results of continuous monitoring of energy meters’ errors for the purposes of metrological supervision. Expected results include a developed and statistically characterized methodology for the use of the results of continuous error monitoring aiming to generate recommendations for decisions making targeting metrological surveillance procedures before the end of the verification interval. The methods considered will include not only classical reliability theory, prediction, error analysis but also machine learning algorithms.
Application of artificial intelligence methods for analysis of informative regions and measurement of quantitative parameters within ultrasonic diagnostic images	habil. dr. Rymantas Jonas KAŽYS prof. dr. Renaldas RAIŠUTIS	state non-funded	Research Topic Summary. Ultrasonic and X-ray methods for measurement of non-electric quantities, non-destructive testing, technical and medical diagnostic: • Application of artificial intelligence methods for analysis of informative regions and measurement of quantitative parameters within ultrasonic diagnostic images (prof.R.Raišutis); • Assessment of factors influencing the accuracy of X-ray computed tomography for dimensional measurements (prof.E.Jasiūnienė);
Assessment of factors influencing the accuracy of X-ray computed tomography for dimensional measurements	habil. dr. Rymantas Jonas KAŽYS prof. dr. Elena JASIŪNIENĖ	state non-funded	Research Topic Summary. Ultrasonic and X-ray methods for measurement of non-electric quantities, non-destructive testing, technical and medical diagnostic: • Application of artificial intelligence methods for analysis of informative regions and measurement of quantitative parameters within ultrasonic diagnostic images (prof.R.Raišutis); • Assessment of factors influencing the accuracy of X-ray computed tomography for dimensional measurements (prof.E.Jasiūnienė);

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Application procedure

Mandatory documents for admission:

Filled in application form (online on apply.ktu.edu)
Official legalised Bachelor’s and Master’s diplomas or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified)
Curriculum Vitae
Recommendations by two researchers of the relevant science field
A research proposal on the topic selected for admission
A list of the research works (this list is submitted with full bibliographic description) along with copies of the research works (or a research paper on the topic (-s) consistent with the dissertation topic (-s) indicated in the candidate’s application, if a candidate does not have any research works)
A copy of the passport personal data page, or a copy of the ID card
A copy of the receipt of the application fee payment (40 EUR for EU citizens, and 100 EUR for non-EU citizens)
A certificate issued by IELTS, TOEFL, CERF or any other competent institution within the last 2 years certifying the level of the English language if the candidate is not a graduate of the first or second cycle studies conducted in the English language

Participation in motivational interview (Kaunas University of Technology, K. Donelaičio g. 73, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

Cycle	Third cycle
Language	Lithuanian, English
Duration	4 y.
Degree awarded	Doctor of Science Dvigubas laipsnis

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)	0,4
Weighted grade point average of the Master’s diploma supplement	0,35
Motivational interview, including evaluation of the knowledge of a foreign language	0,2
Research proposal	0,05

Measurement Engineering

Research topics

Research Topic Summary.

Research Topic Summary.

Research Topic Summary.

Entry requirements

Minimum requirements

Application procedure

Selection criteria and their weighted coefficients

Study programme modules