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 https://www.fbk.eu/it/chi-siamo/ .
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 https://rsde.fbk.eu/.
Planned activities
The RSDE Research Unit of the Digital Society Center is seeking a recent graduate interested in pursuing an internship experience in analyzing remote sensing image time series using deep learning techniques for Earth observation tasks. 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:
- Analysis of image time series for a case study, pre-processing, and creation of a dataset to train and validate a deep learning model.
- Design and implementation of a novel method based on deep learning for the image time series analysis.
- Experimental tests to assess the effectiveness of the proposed method.
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
- 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 and image processing
- Fluent knowledge of written and spoken Italian and English
- Relational and teamwork skills
- Good adaptability, flexibility, and initiative skills
- Computer skills in the use of Python, deep learning libraries (Tensorflow or PyTorch)
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
- motivational letter
For any details about the internship activity, please contact: Francesca Bovolo (bovolo@fbk.eu)
For any further information, please contact the Human Resources Department at: jobs@fbk.eu