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

Research topics

Topic title	Possible scientific supervisors	Source of funding
Research on Methods for In-service Smart Energy Meters‘ Error Monitoring	prof. dr. Žilvinas NAKUTIS	state-funded	Research Topic Summary. Digitalization solutions in energy metering systems generate data from smart meters opening new possibilities to quickly detect anomalies in power consumption profiles due to changes in measurement equipment characteristics, energy thefts, changes of technical losses or cyber attacks [1-3]. Despite a number of methods described in the scientific literature to address these challenges, their comparison and any definition of benchmarking have not yet been explored. The existing scientific problem is that remote methods of estimating the uncertainty of the results obtained by the methods of monitoring the errors of electricity metering devices and the factors influencing it have not been identified. The aim of the planned study is to determine the uncertainties achievable by the proposed non-invasive remote meter error monitoring method in typical distribution network topologies. As anomalies in the measured network parameters may be caused not only by changes in the metrological characteristics of the measuring equipment, but also by theft, technical loss or other causes, the task will extend not only to the quantitative assessment of the change in characteristics but also to classification. Therefore, the application of machine learning methods is likely to fit the challenge. The expected result is a new methodology for grading meter error remote monitoring methods, assessing their suitability not only to quantify error characteristics, but also to distinguish (differentiate) changes (anomalies) in network parameters and power profiles caused by other influencing sources (theft, loss, etc.). Requirements for a candidate: modeling of electric systems, digital signal processing, measurement of electrical quantities, embedded systems design.
Investigations of dynamic adaptability of 3D surfaces in biomedical applications	doc. dr. Darius JEGELEVIČIUS	state-funded
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. dr. Renaldas RAIŠUTIS	state-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 https://admissions.ktu.edu/programme/d-measurement-engineering/ It is the generalized Ph.D research thematic which could be individually adapted to particular competences of applicant. Thematic covers research and development of new advanced ultrasonic measurement, imaging and non-destructive techniques for extreme conditions (high temperatures, high pressure, aerospace etc.) and non-conventional applications of non-destructive testing (NDT), structure health monitoring, quality control and predictive maintenance. Also measurements, material characterization, process control, artificial intelligence based diagnostics and clinical decision support in medical field. Those techniques are oriented to solve the complicated questions related to the structural integrity, safety of constructions and environment, also human health. Developed ultrasonic methods and technologies are being applied in sectors of aerospace, transport, energy, Industry 4.0, health etc. More information: http://ultrasound.ktu.edu Ultrasound Research Institute hosts the European level research Infrastructure ULTRATEST:„Ultrasonic Non-Destructive Testing, Measurement and Diagnostics Center“ (contact: prof. dr. Renaldas Raisutis, renaldas.raisutis@ktu.lt ) ULTRATEST is included in the database of European research infrastructures: http://portal.meril.eu/meril/view/facilitys/15504
Assessment of factors influencing the accuracy of X-ray computed tomography for dimensional measurements	prof. dr. Elena JASIŪNIENĖ	state-funded	Research Topic Summary. Ultrasonic and X-ray methods for measurement of non-electric quantities, non-destructive testing, technical and medical diagnostic: Assessment of factors influencing the accuracy of X-ray computed tomography for dimensional measurements
Development and research of monitoring technology for diagnosis and treatment of Normal Tension Glaucoma	prof. dr. Arminas RAGAUSKAS vyr.m.d. dr. Vytautas PETKUS	state-funded
Development of non-invasive technologies for prevention of brain functions‘ impairments during surgeries with general anesthesia (cardiac surgery, transplantation of organs and etc.).	prof. dr. Arminas RAGAUSKAS vyr.m.d. dr. Vytautas PETKUS	state-funded
Efficient signal excitation and processing technologies for ultrasonic measurements and imaging	prof. dr. Linas SVILAINIS	state-funded	Research Topic Summary. Measurement and imaging resolution demand for reliable signals separation, but limited bandwidth is causing the signals to overlap. Research is aimed to develop the efficient signal excitation and processing techniques for ultrasonic measurements. Reliable time of flight and reflection amplitude estimation, non-destructive testing resolution and contrast are improved thanks to binary excitation spread spectrum signals application. Overlapping reflections are resolved either by spectroscopic or iterative deconvolution techniques. Correlation sidelobes, signal bandwidth can be optimized/corrected thanks to innovative excitation signals. Excitation is not limited to conventional acoustic sources, but also photoacoustics can be used in measurements. Laser ultrasound excitation can use spread spectrum signals which in turn can be adapted to spectral/correlation properties requirements of the measurement process. Reference signals can be made adaptable in order to increase the deconvolution efficiency. New signal quality is obtained thanks to efficient excitation and processing, which in turn enhances the possibilities for imaging and measurements. Results are planned to apply for non-contact and air coupled measurements applications in plants physiological status evaluation, biomedical sensing using the by air coupled/laser ultrasound, contactless range estimation using FMCW technology, nanocomposites parameters measurement, flow measurement, fuel level measurement, food quality evaluation, nondestructive testing of plastic components or even or to evaluate the quality/measure sensitivity, directivity of transducers.

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Entry requirements

Minimum requirements

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 7.5

Application procedure

Mandatory documents for admission:

Filled in application form (online)
Official legalised Master’s diploma or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified) and the certificate of recognition if higher education qualification acquired abroad (see academic recognition)
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, Studentų g. 50, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

Selection criteria and their weighted coefficients

Weighted grade point average of the Master’s diploma supplement	0,35
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
Research proposal on the selected topic for admission	0,05
Motivational interview, including evaluation of the knowledge of a foreign language	0,2

Doctoral School contacts

Study programme modules