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.

Topic title	Possible scientific supervisors	Source of funding
Biomedical Measurements: Sensor, Signal and Imaging Technologies	doc. dr. Darius JEGELEVIČIUS	state-funded	Research Topic Summary. Biomedical Engineering Institute carries out research and experimental development in the fields of health monitoring, diagnostics, images, signals, and medical information processing technologies. The research carried out at the Institute is concentrated in the following directions: 1) monitoring the cardiovascular system by sensors, processing, and characterization of signals acquired by these sensors; 2) biomedical visualization and characterization by ultrasound; 3) processing and analysis of medical 2D and 3D images (optical, CT, ultrasound).
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 imaging and measurements. Reliable time of flight and reflection amplitude estimation, imaging 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. Laser ultrasound excitation can use spread spectrum signals which in turn can be adapted to spectral/correlation properties requirements. 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.
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	state-funded
Application of artificial intelligence methods for analysis of informative regions and measurement of their quantitative parameters within ultrasonic NDT and medical diagnostic images	prof. dr. Renaldas RAIŠUTIS	state-funded	Research Topic Summary. The scientific problem includes the informative analysis of ultrasound signals and diagnostic images and the quantitative interpretation of the results in order to detect internal defects and pathologies. The aim is to develop and investigate the methods of analysis of informative areas in ultrasound non-destructive testing and medical diagnostic images, providing opportunities for quantitative parameter measurement and automated classification of these areas, using artificial intelligence methods.

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Application procedure

Mandatory documents for admission:

Application indicating the science field, the topic and the form of funding (online)
Official legalised Master’s diploma with the diploma supplements 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
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 with a full bibliographic description and copies thereof; if no research works by the applicant are presented, the applicant is required to present a research paper whose topic is consistent with the dissertation topic indicated in the applicant’s application
A copy of the passport page with personal data, 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)

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

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

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