Theses

Theses proposal

~~Study of systematic biases in population tests of parametrised tests of general relativity using gravitational waves.~~
Development of a hierarchical Bayesian framework to combine bright and dark sirens for gravitational wave cosmology.

For the moment, none, but some people will join in March 2026 😉

Candidate: Leonardo Iampieri – Supervisor(s): Simone Mastrogiovanni – Tests of gravity with gravitational waves and machine learning techniques for populations of binary black holes – Expected: 2027.
Candidate: Sarah Ferraiuolo – Supervisor(s): Simone Mastrogiovanni, Eric Kajfasz, Stephanie Escoffier – Preparation of Euclid data for Gravitational Wave cosmology – Expected: end of 2026.
Candidate: Alessandro Buchicchio – Supervisor(s): Simone Mastrogiovanni – Dark Sirens Cosmology with complete galaxy catalogues: Methodologies and systematics – Expected 2028.

Candidate: Arianna Scarpa – Supervisor(s): Simone Mastrogiovanni. Machine Learning enhanced Cosmological and Astrophysical inference with Binary Black Holes observed by LIGO-Virgo-KAGRA –Link – Defended on Oct 29th 2025
Candidate: Leonardo Iampieri – Supervisor(s): Simone Mastrogiovanni, Francesco Pannarale.Speed of Gravity and Cosmology Constraints from Binary Neutron Stars using Time Delays between Gravitational Waves and Short Gamma-ray Bursts – Link -Defended on Sept 25th 2023

–