The successful candidate will focus on developing a new retrieval framework for exoplanet atmospheres of wide applicability, across wavelength and resolutions. The fellow will primarily collaborate with Alessio Ferone, at the Parthenope University of Naples, working closely with other colleagues who are experts in machine learning and exoplanetary science in the Napoli area. The fellow will also collaborate with the GAPS group for determining the atmospheric properties (composition, clouds, dynamics) of a sample of extrasolar planets, using high spectral resolution observations from the optical to the near-infrared.