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 deals with the analysis of remote sensing images for Earth observation and space exploration, consistent with the Foundation's objectives.
More information about the RSDE Research Unit can be found at
Planned activities
The RSDE Research Unit of the Digital Society Center is looking for a young recent graduate interested in pursuing an internship experience in the analysis of data acquired by radar sounders on different environments, including Mars, the Moon, and terrestrial cryosphere. The ideal candidate is a proactive and dynamic young person with good organizational and interpersonal skills, with a propensity for teamwork, motivated to undertake a training experience in an international context.
The intern, working alongside the Research Unit staff, will mainly contribute to the development of the following activities: Analysis of the state of the art in radar sounder data processing with deep learning and machine learning; Preprocessing of the radar data to create a deep learning/machine learning oriented dataset; Definition of a novel method based on deep learning to identify subsurface geological targets; Definition of a robust experimental strategy to validate the proposed methods.
The opportunity to join the team in 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 Possession of master's degree in computer science, data science, artificial intelligence, Telecommunication and/or Electronic Engineering; Knowledge of major subjects related to computer science; Fluent knowledge of written and spoken English (min. level B2); Relational and teamwork skills; Good adaptability, flexibility and initiative skills; Computer skills in the use of python and Matlab
Internship information Internship start date: first semester 2025 Internship experience duration: 6 months for extra-curricular internships Opportunity reserved for graduates with a Master's degree (for extra-curricular internships, the degree must not have been obtained more than 12 months ago) The internship experience will take place at the Science and Technology Cluster at the Povo location We offer support in finding accommodation at affiliated facilities, in the case of off-site candidates We offer the possibility 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 motivational letter
For any details about the internship activity, please contact: Francesca Bovolo (******** ).
For any further information, please contact the Human Resources Department at: ********
Application deadline: the notice will be withdrawn when the desired applications are reached.