ERASMUS+ INTERNSHIP in COMPUTATIONAL SCIENCES - Deep Learning models for automatic writer/hand identification

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 (tempo pieno).

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

Duration: 6 months

Start date: 15/01/2027 (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 project in the Cultural Heritage Technologies ( https://www.iit.it/it/web/cultural-heritage-technologies ) group, coordinated by Arianna Traviglia. This group focuses on Cultural Heritage Technologies: Automatic Document Analysis.

Your activity will comprise
- State-of-the-art models report preparation
- Data understanding
- Software development of automatic wri

Erasmus+ Internship: Deep Learning for Cultural Heritage

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