Four Researchers from Corvinus University Win the Prestigious Bolyai János Research Fellowship in 2025

In 2025, four outstanding researchers from Corvinus University of Budapest were awarded the János Bolyai Research Fellowship, established by the Hungarian Academy of Sciences in 1997. The János Bolyai Research Scholarship is a programme supporting postdoctoral researchers, which has been announced annually since 1998. Its aim is to foster the creation of high-quality scientific research and to assist researchers in preparing for the prestigious “Doctor of the Hungarian Academy of Sciences” (DSc) title. The fellowship is open to researchers under the age of 45 who hold a PhD and have not yet attained the DSc title. The support lasts for 1, 2, or 3 years and provides a monthly stipend of 250,000 HUF to successful applicants.
The Bolyai Fellowship offers not only financial support but also significant professional recognition. Winning the fellowship gives researchers the opportunity to deepen their research focus, achieve new results, and contribute to the advancement of the scientific community. Furthermore, it plays a crucial role in supporting the early career progression of researchers and their preparation for obtaining the DSc title.
Being awarded the Bolyai János Research Fellowship is a source of pride not only for the individual researchers but also for the entire university. We extend our sincere congratulations to the winners!
List of winners of the Bolyai János Research Fellowship in 2025
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Ricz Judit:
New perspectives on industrial policy in the age of climate change, geopolitical tensions and artificial intelligence: opportunities and threats in the global semi-periphery
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Rigó Petra Renáta:
Special convex optimisation of interior point algorithms for task classes
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Szalai Máté:
A just transition in the Persian Gulf? Assessing the social and political implications of the transition to renewable energy sources and modernisation projects from the perspective of European interests and values
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Vékás Péter:
New methods for predicting mortality and their applications in insurance