Students awarded merit-based scholarships at the Career Days

March 25, 2014
A series of Open Meetings within the framework of the Career Days has finished this week, and with the Fair for Career Contacts held on Wednesday, the Career Days 2014 at Vilnius Gediminas Technical University (VGTU) has come to its mid-point. There was an award ceremony of the merit-based scholarships awarded by the Eika company held at the closing of the Fair for Career Contacts.



The Open Meetings series has been organised this year with the aim to invite students to meet career specialists, scientists, representatives of different businesses, show-business people. Students had an opportunity to communicate with Tadas Vidmantas, a well-known figure in creative production, TV presenters Gediminas Jaunius and Vlada Musvydaitė, the creators of the first Lithuanian-made satellite LituanicaSAT-1 Vytenis Buzas and Laurynas Mačiulis, representatives ofSwecoNod BalticLogistikos akademijaAco NordicMark Monitor companies and others. Part of these companies were participants at the Fair for Career Contacts with representatives from more than 40 businesses. Their stands provided information on work placement and employment opportunities, and the representatives could have direct contacts with potential employees. 



The Rector of VGTU Alfonsas Daniūnas enjoys the popularity of the Career Days 2014 that has attracted the largest number of students since the start of such Days at VGTU: “A lot of students have come to meet the lecturers and well-known people of Lithuania that have made their excellent careers in Lithuania or abroad. The overcrowded lecture halls served as evidence of this popularity”.



According to the Rector, the second stage of the Career Days when students met their potential employers was equally important, and he expressed his thanks to the representatives of the companies and institutions so numerous at the Career Days 2014 for their involvement.



Three students from the Faculty of Civil Engineering of VGTU, namely Paulius Stropas, an undergraduate student, Mindaugas Macijauskas, a graduate student, and Simona Kildienė, a postgraduate student, were awarded the Eika Merit Scholarships for the academic excellence and involvement in research at the Fair for Career Contacts closing party. The scholarships in the amount of   3000 Lt each were awarded by  Domas Dargis, Director for Development at the Eika Company.



The above mentioned undergraduate and graduate students have been selected for the nomination according to the weighted arithmetic average achieved by them during the last semesters, and the postgraduate student was nominated for the number of her contributions to research periodicals taking into account the scope of her involvement in the articles.



Mr Dargis said: “Our decision to establish the Merit Scholarship for VGTU students was due to the close relationship with the Faculty of Civil Engineering, since even 63 per cent of the Eika Company employees are graduates and students of this Faculty, and we still see it as the source for our future colleagues”.



The Career Days 2014 has come only to its mid-point, therefore the Integration and Career Office invites students to register for visits to companies. It is planned that students will visit such companies as Schmitz Cargobull BalticDPD LietuvaBaltic AmadeusGirteka Logistics and others.

Related news

New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Interaction between currency market evolution with monetary policy instruments in the age of digitisation“ („Valiutų rinkos evoliucijos sąveika su monetarinės politikos instrumentais skaitmenizacijos amžiuje“) prepared at VILNIUS TECH by Tomas Pečiuli. The dissertation was prepared in 2020–2026. Scientific consultant – Assoc. Prof. Dr Asta Vasiliauskaitė. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Economics in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a.m. on 10 June 2026. The emergence of decentralised cryptocurrencies has created fundamental challenges for traditional monetary policy systems. Although these digital assets have the potential to increase financial inclusion and efficiency, their volatility and the lack of centralised oversight create systemic risks that cannot be properly managed using classical models. This dissertation presents an integrated hybrid analytical framework designed to quantitatively assess the impact of cryptocurrencies on monetary policy transmission mechanisms, providing policymakers with empirically grounded tools to analyse this evolving financial domain more effectively. The dissertation is divided into three main parts. The First Chapter summarises the theoretical role of cryptocurrencies in modern monetary theory. The Second Chapter presents and substantiates a new methodology that combines machine-learning techniques with advanced econometric modelling, specifically using an Elastic Net machine learning model with ARIMA residuals and MSGARCH specifications to capture regime-dependent behaviour. The Third Chapter empirically validates the framework using data from cryptocurrency markets and central bank policy operations. The empirical results show a significant asymmetric policy transmission effect, with the price of Bitcoin reacting by USD -15,348 to a 1% change in the Federal Reserve interest rate. The analysis also identifies critical volatility thresholds (σ>80%) at which cryptocurrency fluctuations increase inflation risk. These results indicate the growing systemic importance of cryptocurrencies in monetary policy dynamics. The study contributes to the emerging field of digital asset economics. The integrated modelling approach helps overcome the long-standing limitations of analysing nonlinear financial phenomena. Practical applications include real-time financial stability risk monitoring systems and evidence-based guidelines for regulatory interventions. The modular structure of the framework allows for future expansion by incorporating evolving market structures and new digital assets. The dissertation’s results have been presented to the scientific community in eight peer-reviewed publications in scientific journals and conference proceedings. This work provides central banks with essential analytical tools to maintain monetary stability and to promote responsible financial innovation in the digital era. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
More
New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Research and application of machine learning methods for migraine attack prediction“ prepared at VILNIUS TECH by Viroslava Kapustynska. The dissertation was prepared in 2021–2026. Scientific consultant – Prof. Dr Šarūnas Paulikas. The dissertation was defended at the public meeting of the Dissertation Defense Council of the Scientific Field of Electrical and Electronic Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 2 p.m. on 9 June 2026. Migraine is a complex neurological disorder characterized by strong inter- and intra-individual variability, which makes early forecasting difficult using only clinical observations. Wearable biosensors combined with machine learning offer new opportunities to detect subtle physiological changes that may precede migraine attacks and to develop individualized prediction models. This dissertation investigates migraine analysis and next-day prediction using physiological recordings collected under real-life monitoring conditions. Data were obtained with the Empatica Embrace Plus wearable device and include electrodermal activity, pulse rate, skin temperature, and movement-related signals. The analysis focuses on nocturnal recordings, since the night period provides a more stable physiological context with fewer external disturbances. Nights were standardized using sleep-based contextual selection and consistent night-level rules. The experimental framework is organized in two stages. In the first stage, a window-level binary classification task is used as an exploratory methodological analysis to examine how design choices influence model performance. Night recordings are segmented into analysis frames ranging from 5 to 120 minutes, statistical features are extracted, and the influence of signal preprocessing and feature representation is evaluated across several classifier families, including Random Forest, XGBoost, histogram-based gradient boosting, support vector machines, and k-nearest neighbors. In the second stage, the research evaluates next-day migraine prediction based on whole-night recordings. This stage refines the experimental methodology to obtain more reliable estimates of predictive performance under a stricter validation framework. The analysis focuses on the effect of temporal aggregation while comparing the same classifier families under consistent evaluation conditions. The results demonstrate considerable variability across participants in achievable prediction performance and optimal modeling configurations. Shorter analysis frames generally preserve informative short-term physiological changes, whereas longer windows tend to smooth these variations. Signal preprocessing shows a window-dependent effect and does not consistently improve performance. Overall, the results highlight the importance of temporal resolution, rigorous validation, and individualized modeling for wearable-based migraine prediction systems. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
More