Alessandro Lucantonio's blog

I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.

Job description

You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.

I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.

Job description

You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.

I am looking for a PhD student to join my group - Computational Physics and Machine Learning - at Aarhus University to work on the ERC project ALPS - AI-based Learning for Physical Simulation. The goal of the research is to develop a new generation machine learning and simulation algorithms that are able to automatically build interpretable models of physical systems starting from experimental data. These algorithms will be applied in the contexts of biological systems, human health, fluid dynamics and engineering.

I am looking for a research fellow (pre/post-doc) to join my group at Scuola Superiore Sant'Anna (Pisa, Italy) to work on the ERC project ALPS - AI-based Learning for Physical Simulation.

The goal of the research is to develop a new generation machine learning and simulation algorithms that are able to automatically build interpretable models of physical systems starting from experimental data. These algorithms will be applied in the contexts of biological systems, human health, fluid dynamics and engineering.

Abstract: Brittle materials propagate opening cracks under tension. When stress increases beyond a critical magnitude, then quasistatic crack propagation becomes unstable. In the presence of several precracks, a brittle material always propagates only the weakest crack, leading to catastrophic failure. Here, we show that all these features of brittle fracture are fundamentally modified when the material susceptible to cracking is bonded to a hydrogel, a common situation in biological tissues.