Internship in the field of “Geometric deep learning for analyzing Martian subsurface”

The Bruno Kessler Foundation is a research and innovation institution based in Trento. The Foundation operates in a plurality of disciplinary fields and aims to achieve excellence in science and technology through 2 science clusters, one dedicated to technology and innovation and one to humanities and social sciences, organized in 12 Research Centers, and with more than 450 researchers. For more information, visit . In this context, the Remote Sensing for Digital Earth (RSDE) Research Unit of the Digital Society Center focuses on the automated analysis of remote sensing images for Earth observation and space exploration, consistent with the Foundation's objectives. For more information about the RSDE Research Unit, please visit Planned activities The RSDE Research Unit of the Digital Society Center is seeking a recent graduate interested in pursuing an internship focused on analyzing radar images of the Martian subsurface to identify geological formations related to ice movement at the ice caps using machine learning and deep learning. The ideal candidate is a proactive and dynamic young person with strong organizational and interpersonal skills, a propensity for teamwork, and a motivation to undertake training experience in an international context. The intern, working alongside the Research Unit staff, will mainly contribute to the development of the following activities: Review of the state of the art on graph-based methods and radargram processing for subsurface analysis. Definition of a methodology to construct a graph representation directly from radar sounder data, modeling reflections and spatial relationships for stratigraphic reconstruction. Validation of the proposed graph-based framework through quantitative evaluation and geological consistency analysis. The opportunity to join the team on other active and developing projects during the internship period and to gain experience in a dynamic and challenging environment, such as FBK, will also be offered. Requirements At least a bachelor’s degree (or near completion) in Computer Science, Computer Engineering, Data Science, Telecommunication and/or Electronic Engineering, or related fields; Knowledge of major subjects related to computer science. Fluent knowledge of written and spoken English Relational and teamwork skills Good adaptability, flexibility, and initiative skills Computer skills in the use of Python and MATLAB. Proven experience in designing, implementing, and using containerized software solutions in research environments. Internship information The closing date for applications is 31 December 2026; however, the position may be filled earlier if a suitable candidate is identified. Internship experience duration: 3 to 6 months, depending on the candidate’s needs and experience. The internship location can be remote, hybrid, or in-person at the Science and Technology Cluster in Povo. We offer support in finding accommodation at affiliated facilities for off-site candidates. We offer the option to use the internal canteen service. Possible recognition of participation allowance. How to Apply All interested parties are asked to fill out the online form by clicking on "Apply Online" in the "Internship opportunities" section, attaching the following documents in .pdf format: curriculum vitae For any details about the internship, please contact Francesca Bovolo (Visualizzare la mail su jobs.fbk.eu) or Elena Donini (Visualizzare la mail su jobs.fbk.eu). For any further information, please get in touch with the Human Resources Department at: Visualizzare la mail su jobs.fbk.eu