ERASMUS+ INTERNSHIP in COMPUTATIONAL SCIENCES - Few-shot deep learning models for automated segmentation of cultural heritage settlements

Italy

Commitment & contract: Full-time internship within the Erasmus+ Traineeship programme for undergraduate students enrolled in a master’s degree programme; the position requires a time commitment of 40 hours/week (full time).

*Location:*Center for Cultural Heritage Technology, Roncade (Treviso), Italy

Duration: 6 months

Start date: 15/09/2026 (flexible)

Compensation: No salary granted by IIT (applicants must rely on funding from their University’s Erasmus+ programme)

Step into a world of endless possibilities, together let’s leave something for the future!

At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.

We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE

During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it/web/cultural-heritage-technologies) group, coordinated by Arianna Traviglia. This group focuses on Cu****ltural Heritage Technologies: Remote Sensing Technologies.

Your activity will comprise

• State-of-the-art models report preparation
• Remote sensing data understanding
• Software development of few-shot learning models

And will allow you to develop competences in

• Software management (e.g., Git use)
• Types of data in remote sensing
• Use of PyTorch and/or HuggingFace

ESSENTIAL REQUIREMENTS

• To be registered as a student in an undergraduate master’s degree programme in Computer engineering, Computer Science or a cognate fieldofstudy for the entire duration of your stay at IIT
• To have a good command of spoken and written English
• To rely on funding from your University’s Erasmus+ programme

Please submit your application including a detailed CV, university transcripts, cover letter, and contact details of the reference Erasmus + Office for your University

Application’s deadline: July 25th, 2026

***To discover more about life at IIT, visit the dedicated section here:***https://www.iit.it/en/work-at-iit