Call for PhD & Postdoctoral Applications — Academic Year 2026/2027
BBQ Institute invites applications for fully funded Doctoral and Postdoctoral Fellowships in Machine Learning, Quantum Computing, and Distributed Systems. Applications close on September 30, 2026.
BBQ Institute Awarded PLN 2.84M NCN OPUS 24 Grant for Scalable Neural Verification
The National Science Centre (NCN) has officially awarded Project VERIPROVE led by Prof. dr hab. inż. Janusz Kowalczyk to advance mathematical guarantees for distributed foundation models.
Category
GRANT AWARD
Date
2026-08-24
Location / Venue
Warsaw, Poland
Announced By
BBQ Research Administration Office
Overview & Background
The National Science Centre (NCN) has released the results of the OPUS 24 funding scheme. BBQ Institute has secured PLN 2,840,000 in funding for a three-year project on neural network verification.
Key Highlights & Facts
Funding Agency: National Science Centre (Narodowe Centrum Nauki - NCN)
Panel: ST6 (Computer Science & Informatics)
Project Duration: 36 Months (2024–2027)
Principal Investigator: Prof. dr hab. inż. Janusz Kowalczyk
Event Program & Proceedings
International peer review evaluated the proposal on theoretical originality, computational feasibility, and impact on AI safety.
Funding will support 2 postdoctoral researchers, 3 doctoral stipends, and dedicated HPC GPU infrastructure at the CeNT datacenter.
Announcement Details
Warsaw, August 24, 2026 — The BBQ Institute of Advanced Science & Technology is proud to announce that the National Science Centre (NCN) has selected Project VERIPROVE: Automated Verification of Distributed Neural Computation for funding under the prestigious OPUS 24 scheme.
Led by Prof. dr hab. inż. Janusz Kowalczyk, Director of BBQ Institute and Head of the Laboratory for Machine Cognition & Neural Systems (MCNC Lab), the research initiative addresses the urgent challenge of verifying deep neural network behavior in mission-critical and scientific domains.
Research Scope & Impact
Modern neural networks are widely deployed across science and industry, yet providing rigorous mathematical guarantees regarding their safety, robustness, and invariance remains an open challenge. Project VERIPROVE introduces novel polynomial certificate formulations and zero-knowledge cryptographic execution proofs, allowing remote neural computations to be soundly audited without sharing proprietary model weights.
The funding will support:
2 full-time postdoctoral research fellows.
3 four-year doctoral fellowships in the BBQ Doctoral School.
Expansion of the GPU cluster at the Centre of New Technologies (CeNT) complex on Pasteura Street.
International collaborative visits with researchers at Inria Paris, ETH Zürich, and the University of Oxford.
Registration & Logistics
Project kickoff meeting scheduled for October 1, 2026.
Postdoctoral recruitment open until September 30, 2026.
Mark D. Wilkinson, Michel Dumontier, Tomasz Wiśniewski, Mateusz Wójcik, Barend Mons
Scientific Data (Nature Springer) Vol. 11(1), pp. 18-34(2024). DOI: 10.1038/sdata.2016.18
This foundational work establishes actionable principles ensuring that digital research objects—including datasets, algorithms, and computational workflows—are Findable, Accessible, Interoperable, and Reusable (FAIR) for both humans and automated computational agents.
An extensive review of scientific methodologies, proposing concrete institutional measures to improve transparency, reproducibility, and computational integrity across experimental and data-driven sciences.