.The IAC (Tenerife) announces ONE postdoctoral contract to work on the project linked to the line of research "Machine and Deep Learning in Astrophysics: structural evolution of galaxies with EUCLID and JWST." The contract is funded by the project " B uilding a physic A l under S tanding of g A laxy evo L ution with data-driven asTronomy (BASALT)" (PID2021-126838NB-I00), led by Dr. Huertas-Company.Tasks: The successful candidate will join the group of M. Huertas-Company working on galaxy formation and machine learning. The candidate will have the opportunity to work - among other datasets - with JWST and Euclid observations as well as with cosmological simulations and is expected to develop and/or use novel probabilistic deep learning inference techniques to address a variety of galaxy formation related problems. Our group is particularly interested in constraining star-formation, merger histories and structural transformations of galaxies with large datasets.Requirements: The candidates must have an excellent research record, commensurate with the duration of their research career. They must be in possession of a Ph.D. degree in Astrophysics or Physics by the application deadline. Candidates who have not received their doctorate before the deadline will not be admitted to the selection process. Applicants who prepared their thesis at the IAC have to present accreditations of complementary training at other research centers (this period should be either 1 continuous year or 18 accumulated months) by the application deadline. The IAC is an equal-opportunity employer. We encourage, in particular, applications by women and by members of minorities.Selection process: The selection process consists of two phases: merit assessment and interview.1. First phase: merit assessment. The Selection Panel will verify and rate the merits documented by the applicants. The maximum score that can be awarded in this phase is 80 points, calculated as the sum of the scores obtained in each of the following two sections.a) CV (maximum score: 60 points). Main criteria will be:Scientific and technical contributions to the field of research, especially those listed in the Science Citation Index, in relation to the duration of the candidate's scientific career. Of special importance are the first-authored papers by the candidate.Appointments and stays (at the PhD or postdoctoral level) in prestigious research institutions.Conference contributions, especially those leading to publications.Other indicators of research activity and motivation (like invitations to lectures, organization of meetings, and teaching at University level).Any periods of inactivity for medical reasons, maternity/paternity leaves, elderly care, or due to training or professional experience in other fields will be taken into account.b) Adequacy to the objectives of the contract (maximum score 20 points)Adequacy of the candidate's training and experience to this contract