We invite you to participate in the “Creator Fund” Student Investor Programme 2026

August 11, 2026

VILNIUS TECH students and early-career researchers are invited to apply for the Creator Fund Student Investor Programme 2026, designed for students and researchers in technical and scientific fields who are interested in startups, deep tech and venture capital.

Creator Fund is a pre-seed deep tech venture capital fund investing in companies founded by scientists and researchers across Europe. Its Student Investor Programme gives participants an opportunity to learn the fundamentals of venture capital and explore how scientific research and technological ideas can be transformed into businesses.

Who is the programme for?

The programme is aimed at PhD candidates, Master’s students, other postgraduate students and researchers who:

  • study technical, engineering, natural sciences or related subjects, or conduct research with commercial potential;
  • are interested in startups, deep tech or venture capital;
  • want to learn more about research commercialisation and building technology-driven companies.

What does the programme offer?

Selected participants will join an international community of students and researchers from across Europe. The programme includes an 18-part training programme focused on deep tech startup building and venture capital, practical exposure to the investment process, and mentorship from investors, founders and technical experts.

The programme may be particularly relevant to members of the VILNIUS TECH community who are considering commercialising their research or technological solutions, launching a startup, or exploring a career in venture capital.

Applications for the 2026 programme are now open.

Learn more about the programme

Apply

Related news

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.
More