Fondo Italiano per la Scienza (FIS2) Advanced Grant
Tackling complexity:
ADvanced numerical Approaches for MUltiscale Systems with uncertainties
(ADAMUS)
The project ADAMUS (2025–2028), funded through a FIS Advanced Grant, develops advanced mathematical and computational methodologies to address the challenges of complex multiscale systems affected by uncertainty. The FIS Advanced Grant represents the Italian counterpart of the European Research Council (ERC) Advanced Grant), supporting ambitious and high-impact research conducted by leading investigators.
The project combines structure-preserving numerical methods, machine learning and uncertainty quantification to enable robust and predictive simulations across scales of complex systems described by PDEs, from kinetic theory to fluid dynamics and data-driven models. ADAMUS aims to advance both the theoretical foundations and the practical algorithms needed to simulate real-world phenomena under conditions of partial information, multiscale coupling, and computational complexity. From a broader perspective, ADAMUS bridges numerical analysis and artificial intelligence, contributing to the foundations of modern computational learning.
The project will be carried out at the University of Ferrara, in collaboration with leading research groups in Italy (Catania, Pavia, Verona, Rome, and L’Aquila) and in Europe (Aachen, Leuven, Kaiserslautern, Nice, Bochum, Edinburgh, Oxford, and Cambridge).
Team members
Hiring
2 PhD positions (link) [closed]
3 RTDA positions (link) [closed]
2 post-doc positions (link) [closed]
4 post-doc positions (opening in 2026)
Contact me if you are interested in joining the research group (lorenzo.pareschi@unife.it).
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