Registrations are open!
Deadline for scholariship application postponed to April 15th
Welcome to the 8th Edition of INFIERI:
INtelligent signal processing for FrontIEr Research and Industry
We are excited to announce that the 8th edition of the INFIERI Summer School will take place in Pisa, Italy, from September 1 to 13, 2025. Hosted by the University of Pisa and INFN Sezione di Pisa, with the collaboration of Scuola Normale Superiore, the European Gravitational Observatory, and the University of Siena, this edition promises to continue the legacy of excellence that has defined the INFIERI series.
The INFIERI Summer School offers a unique two-week program designed for M.Sc. students, Ph.D. candidates, postdocs, and early-career researchers. The 2025 edition will maintain the school's tradition of cross-disciplinarity, covering the full signal processing chain critical for developing cutting-edge instruments in areas such as particle physics, astrophysics, nanotechnology, and biomedical engineering.
The program includes expert lectures, keynote talks, and hands-on laboratory sessions, where participants will work closely with leading scientists and industry professionals. The in-person format fosters essential interactions and collaborations, ensuring a rich educational experience. Following the success of the 2023 edition, highly skilled undergraduate students will also be invited to participate based on their academic achievements.
Join us in Pisa for an unparalleled opportunity to advance your knowledge and skills in signal processing and instrumentation.
Lectures & Hands-on Labs on Cross-disciplinary, Cutting-edge Research Fields, and High Technologies Development:
- From Astrophysics (Gravitational Waves, HelioPhysics and Sun Exploration) and Particle Physics (Beyond Higgs/Future accelerators & Quantum Experiments) to new paradigms in Nuclear Fission and Fusion.
- From Advanced semiconductors to Quantum sensing, Nano-technologies, Nano-Biology and Nano-Medicine.
- From Big Data Transfer, beyond-Moore’s-Law High Performance Computing to AI and Quantum Technologies in Science and Industry.
Target audience: M.Sc., Ph.D., postdoc-level physicists and engineers.
