Fusion processes involving α-particles are central to understanding the lifecycle of massive stars and the formation of heavier elements. Directly measurements of these reactions are very difficult and most of the time impossible as the Coulomb repulsion between the nuclei suppresses the reaction probability. Instead, these reaction rates are often evaluated using nuclear properties inferred from transfer reactions measurements in which an α- particle is transferred to the nucleus of interest. The quality of these evaluations depends strongly on the accuracy of the reaction theory used to interpret these transfer data. In this project, the student will use nuclear reaction models to analyse 12C(7Li,t)16O transfer reaction data. In this process, they will quantify the uncertainties associated with the inputs of these models onto 12C(7Li,t)16O transfer cross sections, using Bayesian statistics. By comparing their predictions to 12C(7Li,t)16O data, they will infer constraints for the 12C(α,𝛾)16O fusion rate. The registration for the internship must be done on the website: https://npa.in2p3.fr/summer-training-program/