Cooperation between VILNIUS TECH and UAB Teltonika IoT group: future plans and scholarships for students

May 14, 2021

On May 14 Vilnius Gediminas Technical University (VILNIUS TECH) signed a cooperation agreement with UAB Teltonika IoT group. 

In order to ensure that young people will have the best conditions to grow professionally, develop their skills, improve and become experts in their fields, UAB „Teltonika IoT group“ will contribute to the improvement of university studies. If necessary, they will give their recommendations or supervise students with their academic works and will give lectures on the most relevant topics. If possible, they will provide VILNIUS TECH with the necessary technical equipment, material of teaching methodology and help set up training laboratories. 

According to Julius Švagždis, The Corporate Marketing director of “Teltonika IoT group”, the group's plans are to hire around 2,000 new specialists in Lithuania in next 4-5 years, most of them will be from technological specialties. 

“In 10 years, the need for these specialists in Lithuania will be tripled.  By investing now in the popularization of technological study fields we also contribute to the development of Lithuania as a high-tech country, ”says J. Švagždys.

 VILNIUS TECH will help the “Teltonika IoT group” to research, organize training programs for employees, look for young talents who want to work in a company or do internships in academies. 

It is expected that the development of university education and the study process, using the latest technologies, will increase talented specialists in the future in the technology field.  
"We are contributing to this goal by paying even 36 scholarships, which coasts 3000 euros each, to the first-year of VILNIUS TECH engineering and information technology programs students," says The Corporate Marketing director.
 

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New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Twin transition impact assessment model for agricultural performance in the context of sustainability“ prepared at VILNIUS TECH by Kristina Šermukšnytė-Alešiūnienė. The dissertation was prepared in 2020–2026. Scientific consultant – Dr Rasa Melnikienė. 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 22 September 2026. The twin transition in agriculture, combining the digital and green transitions, is one of the key directions of the European Union’s strategy for developing a more sustainable, resilient, and competitive agricultural sector. This dissertation addresses the problem of how to assess the impact of digital and green transitions on agricultural performance in the context of sustainability. The dissertation aims to develop and empirically substantiate the Twin Transition Impact Assessment Model. The model integrates three assessment levels: farm-level adoption and economic performance; the bioeconomy and value-chain level; and the national and regional context level. Structural asymmetries and enabling mechanisms are included as cross-cutting components. A mixed-methods research design was applied, combining scientific literature analysis, conceptual synthesis, case-study analysis, structured survey analysis, comparative assessment, correlation and regression analysis, sensitivity analysis, semi-structured interviews, document review, and the synthesis of empirical findings. The empirical basis consists of five interconnected studies covering small-farm digitalisation, digital technology adoption in sustainable agriculture and the bioeconomy, the twin transition in Lithuania and Romania, food supply-chain digitalisation, and structural asymmetries in Lithuania’s bioeconomy transition. The empirical results show that the twin transition improves agricultural performance when digital and green solutions are integrated across the farm, value chain, and regional and national levels. Digitalisation supports labour efficiency, planning, customer relations, investment decisions, loss reduction, traceability, product quality, and supply-chain visibility, while also contributing to resource efficiency, renewable energy use, water-use efficiency, emissions reduction, carbon sequestration, and climate resilience. The empirical evidence indicates that the effects of digital and green transitions depend on infrastructure, investment capacity, policy support, digital skills and institutional conditions. The results also show structural differences in transition outcomes: higher investment intensity does not automatically produce stronger economic results, and digital adoption may occur separately from ecological production orientation. On this basis, the dissertation concludes that digital and green transitions can strengthen agricultural performance and sustainability when they are integrated, context-specific and supported by enabling mechanisms. The proposed model provides a scientific and practical framework for assessing agricultural performance under the twin transition across farm-level, bioeconomy and agri-food value-chain, regional-national and structural dimensions. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
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